
<NEWREFERENCE>0
brodley1992 <author> Brodley, C. E. & Utgoff, P. E. </author> <year> (1992), </year> <title> Multivariate versus univariate decision trees, </title> <type> Tech--nical Report COINS TR 92-8, </type> <institution> Department of Computer Science, University of Mas-sachusetts,</institution><address> Amherst, MA, </address> 

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brodley1992 <author> Brodley, C. E. & Utgoff, P. E. </author> <year> (1992), </year> <title> Multivariate versus univariate decision trees, </title> <type> Technical Report COINS TR 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution>,<address> Amherst, MA, </address> 

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brodley1992 <author> Brodley, C. E. and Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> Technical Report 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution><address> Amherst, MA. </address>

<NEWREFERENCE>3
brodley1992 <author> Brodley, C. E. and Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> Technical Report 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution><address> Amherst, MA. </address>

<NEWREFERENCE>4
brodley1992 <author> Brodley, C. E. and Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> Technical Report 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution><address> Amherst, MA. </address>

<NEWREFERENCE>5
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> (Coins Technical Report 92-8), </type> <address> Amherst, MA:</address><institution> University of Massachusetts, Department of Computer and Information Science. </institution>

<NEWREFERENCE>6
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> (Coins Technical Report 92-8), </type> <address> Amherst, MA:</address><institution> University of Massachusetts, Department of Computer and Information Science. </institution>

<NEWREFERENCE>7
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> (Coins Technical Report 92-8), </type> <address> Amherst, MA: </address><institution>University of Massachusetts, Department of Computer and Information Science. </institution>

<NEWREFERENCE>8
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees, </title> <type> (Coins Technical Report 92-8), </type> <address> Amherst, MA:</address><institution> University of Massachusetts, Department of Computer and Information Science. </institution>

<NEWREFERENCE>9
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts atAmherst</institution>

<NEWREFERENCE>10
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

<NEWREFERENCE>11
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

<NEWREFERENCE>12
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

<NEWREFERENCE>13
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

<NEWREFERENCE>14
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

<NEWREFERENCE>15
brodley1992 <author> Brodley, C. E., & Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Tech. rep. COINS CR 92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts at Amherst. </institution>

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brodley1992 <author> Brodley, C. E., and Utgoff, P. E. </author> <year> 1992. </year> <title> Multivariate Versus Univariate Decision Trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Dept. of Computer Science, Univ. of Mass. </institution>

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brodley1992  <author> C.E. Brodley and P.E. Ut-goff, </author> <title> Multivariate versus univariate decision trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution><address> Amherst, Massachusetts, USA, </address> <year> 1992. </year>

<NEWREFERENCE>18
brodley1992  <author> C.E. Brodley and P.E. Utgoff, </author> <title> Multivariate versus univariate decision trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Department of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <year> 1992. </year>

<NEWREFERENCE>19
brodley1992  <author> Brodley, C. E., and Utgoff, P. E. </author> <year> 1992. </year> <title> Multivariate Versus Univariate Decision Trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Dept. of Computer Science, </institution> <address> U. Mass. </address>

<NEWREFERENCE>20
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

<NEWREFERENCE>21
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

<NEWREFERENCE>22
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

<NEWREFERENCE>23
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

<NEWREFERENCE>24
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution>,<address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

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brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

<NEWREFERENCE>26
brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

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brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution>,<address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

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brodley1992  <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> Technical Report COINS-CR-92-8, </type> <institution> Dept. of Computer Science, University of Massachusetts,</institution><address> Amherst, MA, </address> <month> January </month> <year> 1992. </year>

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brodley1992  <author> Brodley, C.E., and Utgoff, P.E. </author> <year> 1992. </year> <title> Multivariate Versus Univariate Decision Trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Computer Science Dept.,</institution><address> UMass. </address>

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brodley1992b  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Multivariate decision trees. </title> <type> COINS Technical Report 92-83, </type> <institution> University of Massachussets,</institution><address> Amherst, Massachusetts, </address> <year> 1992. </year> <note> To appear in Machine Learning. </note>

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brodley1992b  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Multivariate decision trees. </title> <type> COINS Technical Report 92-83, </type> <institution> University of Massachussets,</institution><address> Amherst, Massachusetts, </address> <year> 1992. </year> <note> To appear in Machine Learning. </note>

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brodley1992b  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Multivariate decision trees. </title> <type> COINS Technical Report 92-83, </type> <institution> University of Massachussets,</institution><address> Amherst, Massachusetts, </address> <year> 1992. </year> <note> To appear in Machine Learning. </note>

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brodley1992b  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Multivariate decision trees. </title> <type> COINS Technical Report 92-83, </type> <institution> University of Massachusetts, </institution><address>Amherst, Massachusetts, </address> <year> 1992. </year> <note> To appear in Machine Learning. </note>

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brodley1992b  <author> C.E. Brodley and P.E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> TR 8, </type> <institution> Department of Computer Science, </institution><address>University of Massachussetts, </address> <year> 1992. </year>

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brodley1992b  <author> C.E. Brodley and P.E. Utgoff. </author> <title> Multivariate versus univariate decision trees. </title> <type> TR 8, </type> <institution> Department of Computer Science, </institution><address>University of Massachussetts, </address> <year> 1992. </year>

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brodley1992b  <author> Carla E. Brodley and Paul Utgoff. </author> <title> Multivariate decision trees. </title> <type> Technical Report MASSCS 92-93, </type> <institution> University of Massachusetts,</institution><address> Amherst, </address> <year> 1992. </year>

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brodley1992b  <author> Carla E. Brodley and Paul Utgoff. </author> <title> Multivariate decision trees. </title> <type> Technical Report MASSCS 92-93, </type> <institution> University of Massachusetts,</institution><address> Amherst, </address> <year> 1992. </year>

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brodley1992b  <author> Brodley, C. E. and Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Technical report, </type> <institution> Department of Computer Sciences University of Massachussetts. </institution>

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brodley1992b  <author> Brodley, C. E. and Utgoff, P. E. </author> <year> (1992). </year> <title> Multivariate versus univariate decision trees. </title> <type> Technical report, </type> <institution> Department of Computer Sciences University of Massachussetts. </institution>

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brodley1992b  <author> C.E. Brodley and P.E. Utgoff, </author> <title> Multivariate versus univariate decision trees. </title> <type> COINS Technical Report 92-8, </type> <institution> Department of Computer Science,</institution><address> University of Massachusetts, Amherst, MA. </address>

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brodley1994  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Goal-directed Classification Using Linear Machine Decision Trees. </title> <journal> Machine Learning, </journal> <year> 1994. </year>

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brodley1994  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Goal-directed Classification Using Linear Machine Decision Trees. </title> <journal> Machine Learning, </journal> <year> 1994. </year>

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brodley1994  <author> C. E. Brodley and P. E. Utgoff. </author> <title> Goal-directed Classification Using Linear Machine Decision Trees.</title><journal> Machine Learning, </journal> <note> <year> 1994. </year>

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brodley1995 35. <author> Carla E. Brodley and Paul E. Utgoff. </author> <title> Multivariate decision trees. </title> <journal> Machine Learning, </journal> <volume> 19 </volume> <pages> 45-77, </pages> <year> 1995. </year>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 ,</volume><pages> 161-186. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 ,</volume><pages> 161-186. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4, </volume> <pages> 161-186. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4, </volume> <pages> 161-186. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4, </volume> <pages> 161-186. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees.</title><journal> Machine Learning,</journal><volume> 4,</volume><pages> 161-186. </pages> 
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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Incremental induction of decision trees.</title><journal> Machine Learning,</journal><volume> 4,</volume><pages> 161-186. </pages> 
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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representa tions. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

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utgoff1989 <author> Utgoff, P. E. </author> <year> (1989b). </year> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4, </volume> <pages> 161-186. </pages>

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utgoff1989  <author> P.E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal><volume> (4):</volume><pages>161-186</pages><date> 1989. </date>

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utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>551
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>552
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>553
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>554
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>555
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>556
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>557
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>558
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>


<NEWREFERENCE>559
utgoff1989  <author> Paul E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>560
utgoff1989  <author> P. E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>561
utgoff1989  <author> P. E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>562
utgoff1989  <author> P.E. Utgoff. </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4 </volume> <pages> 161-186, </pages> <year> 1989. </year>

<NEWREFERENCE>563
utgoff1989  <author> Utgoff P.E.: </author> <title> Incremental Learning of Decision trees., </title> <journal> Machine Learning </journal><volume>4 </volume> <pages> 161-186, </pages> <year> 1989 </year>

<NEWREFERENCE>564
utgoff1989  <author> P.E. Utgoff, </author> <title> Incremental induction of decision trees. </title> <journal> Machine Learning, </journal> <volume> 4, </volume> <pages> 161-186. </pages>

<NEWREFERENCE>565
utgoff1989mlw 17. <author> P. E. Utgoff. </author> <title> Improved training via incremental learning. </title> <booktitle> In Sixth International Workshop on Machine Learning, </booktitle> <pages> pages 362-365, </pages> <year> 1989. </year>

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utgoff1989mlw 17. <author> P. E. Utgoff. </author> <title> Improved training via incremental learning. </title> <booktitle> In Sixth International Workshop on Machine Learning, </booktitle> <pages> pages 362-365, </pages> <year> 1989. </year>

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utgoff1989mlw 24. <author> P. E. Utgoff, </author> <title> Improved Training via Incremental Learning, </title> <booktitle> Proceedings of the Sixth International Workshop on Machine Learning, </booktitle> <publisher> (Morgan Kaufmann, </publisher> <year> 1989 </year> <pages> pgs. 62 - 65. </pages>

<NEWREFERENCE>568
utgoff1989mlw <author> Utgoff, P. E. </author> <year> (1989a). </year> <title> Improved training via incremental learning. </title> <booktitle> In Proceedings of the Sixth International Workshop on Machine Learning </booktitle><pages>(pp.  362-365</pages><address> Ithaca, NY: </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>569
utgoff1989mlw <author> Utgoff, P. E. </author> <year> (1989a). </year> <title> Improved training via incremental learning. </title> <booktitle> In Proceedings of the Sixth International Workshop on Machine Learning </booktitle><pages>(pp.  362-365</pages><address> Ithaca, NY: </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>570
utgoff1989mlw <author> Utgoff, P. E. </author> <year> (1989a). </year> <title> Improved training via incremental learning. </title> <booktitle> Proceedings of the Sixth International Workshop on Machine Learning. </booktitle> <address> Ithaca, NY: </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>571
utgoff1989mlw <author> Utgoff, P. E. </author> <year> (1989a). </year> <title> Improved training via incremental learning. </title> <booktitle> Proceedings of the Sixth International Workshop on Machine Learning. </booktitle> <address> Ithaca, NY: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1989mlw <author> Utgoff, Paul E. </author> <year> (1989). </year> <title> Improved Training via Incremental Learning, </title> <booktitle> Proc. of the 6th Int'l Workshop on Machine Learning, </booktitle> <pages> 62-65. </pages>

<NEWREFERENCE>573
utgoff1989mlw <author> Utgoff, Paul E. </author> <year> (1989). </year> <title> Improved Training via Incremental Learning, </title> <booktitle> Proc. of the 6th Int'l Workshop on Machine Learning, </booktitle> <pages> 62-65. </pages>

<NEWREFERENCE>574
utgoff1989mlw  <author> Paul E. Utgoff. </author> <title> Improved training via incremental learning. </title> <booktitle> In Sixth International Workshop on Machine Learning, </booktitle> <pages> pages 362-365, </pages> <year> 1989. </year>

<NEWREFERENCE>575
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representa-tions. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>576
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>577
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>578
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>579
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>580
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>581
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>582
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1 (4), </volume> <pages> 377-391. </pages>

<NEWREFERENCE>583
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>584
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>585
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>586
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989b). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>587
utgoff1989pt <author> Utgoff, P. E. </author> <year> (1989b). </year> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> 377-391. </pages>

<NEWREFERENCE>588
utgoff1989pt <author> Utgoff, P.E. </author> <year> (1989), </year> <title> Perceptron Trees: A case study in hybrid concept representations, </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> pp. 337-391. </pages>

<NEWREFERENCE>589
utgoff1989pt <author> Utgoff, P.E. </author> <year> (1989), </year> <title> Perceptron Trees: A case study in hybrid concept representations, </title> <journal> Connection Science, </journal> <volume> 1, </volume> <pages> pp. 337-391. </pages>

<NEWREFERENCE>590
utgoff1989pt  <author> Utgoff, P., E., </author> <year> (1989)</year><title> Perceptron Trees: A case study in Hybrid Concept Representations. </title> <journal> Connection Science, </journal> <volume> Volume 1. </volume>

<NEWREFERENCE>591
utgoff1989pt  <author> Utgoff, P., E., </author> <year> (1989)</year><title> Perceptron Trees: A case study in Hybrid Concept Representations. </title> <journal> Connection Science, </journal> <volume> Volume 1. </volume>

<NEWREFERENCE>592
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>593
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>594
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>595
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>596
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>597
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>598
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>599
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>600
utgoff1989pt  <author> Paul E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>601
utgoff1989pt  <author> P. E. Utgoff. </author> <title> Perceptron trees: A case study in hybrid concept representations. </title> <journal> Connection Science, </journal> <volume> 1(4) </volume> <pages> 377-391, </pages> <year> 1989. </year>

<NEWREFERENCE>602weiying
utgoff1989pt  <author> Utgoff, P. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representation. </title> <journal> Connection Science. </journal>
<booktitle>16 Set Curves Set Curves 17 Set Curves Set Curves 18 Set Curves Set Curves 19 </booktitle>

<NEWREFERENCE>603
utgoff1989pt  <author> Utgoff, P. </author> <year> (1989). </year> <title> Perceptron trees: A case study in hybrid concept representation. </title> <booktitle> Connection Science. Set Curves Set Curves Set Curves Set Curves Curves Curves </booktitle>

<NEWREFERENCE>604
utgoff1989rp <author> Utgoff, P. E., Saxena, S., Callan, J. P., & Fawcett, T. E. </author> <year> (1989). </year> <title> Representation problems in machine learning: A proposal, </title> <type> (COINS Technical Report 89-23), </type> <address> Amherst, MA: University of Massachusetts,</address><institution> Department of Computer and Information Science. </institution>

<NEWREFERENCE>605
utgoff1990 <author> Utgoff, P. E. and Brodley, C. E. </author> <year> (1990). </year> <title> An incre-mental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Ninth National Conference on Artificial Intelligence, </booktitle> <pages> pages 58-65.</pages><volume> 6 </volume>

<NEWREFERENCE>606
utgoff1990 <author> Utgoff, P. E. and Brodley C. E. </author> <year> (1990)</year><title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>


<NEWREFERENCE>607
utgoff1990 <author> Utgoff, P. E. and Brodley C. E. </author> <year> (1990).</year><title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding mul-tivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <address> Los Altos, CA. </address>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>610
utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <address> Los Altos, CA. </address>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>612
utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>614
utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

<NEWREFERENCE>615
utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pp. 58-65. </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher> <volume> 14 </volume>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann. </publisher> <volume> 14 </volume>

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utgoff1990 <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1990). </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> Proceedings of the Seventh International Conference on Machine Learning </booktitle> <pages> (pp. 58-65). </pages> <address> Austin, TX: </address> <publisher> Morgan Kaufmann.</publisher> 

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utgoff1990 <author> Utgoff, P. E., and Brodley, C. E. </author> <year> 1990. </year> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings 7th International Conference on Machine Learning, </booktitle> <pages> 58-65. </pages> <address> San Francisco: </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990  <author> P. Utgoff and C. Brodley. </author> <title> An incremental method for find multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 56-65, </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990  <author> P. Utgoff and C. Brodley. </author> <title> An incremental method for find multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 56-65, </pages> <address> Los Altos, CA. </address> <publisher> Morgan Kaufmann. </publisher>

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utgoff1990  <author> P.E. Utgoff and C.E. Brodley. </author> <title> An incremental method for finding mul--tivariate splits for decision trees. </title> <booktitle> In Machine Learning:Proceedings of the Seventh International Conference, </booktitle> <pages> pages 58-65. </pages> <address> University of Texas, Austin, Texas, </address> <year> 1990. </year>

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utgoff1990  <author> P. E. Utgoff and C. E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA, </address><date>1990. </date> <publisher> Morgan Kaufmann. </publisher> <volume> 16 </volume>

<NEWREFERENCE>629
utgoff1990  <author> P. E. Utgoff and C. E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA,</address><year> 1990. </year> <publisher> Morgan Kaufmann. </publisher> <volume> 16 </volume>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA,</address><year> 1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA, </address><year>1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA,</address><year> 1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA, </address><year>1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA, </address><year>1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1990  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> An incremental method for finding multivariate splits for decision trees. </title> <booktitle> In Proceedings of the Seventh International Conference on Machine Learning, </booktitle> <pages> pages 58-65, </pages> <address> Los Altos, CA, </address><year>1990. </year> <publisher> Morgan Kauf-mann. </publisher>

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utgoff1991aaai <author> Utgoff, P. E., & Clouse, J. A. </author> <year> (1991). </year> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> Proceedings of the Ninth National Conference on Artificial Intelligence</booktitle> <pages>  (pp. 596-600). </pages> <address> Anaheim, CA: </address> <publisher> MIT Press. </publisher>

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utgoff1991aaai <author> Utgoff, P. E., & Clouse, J. A. </author> <year> (1991). </year> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> Proceedings of the Ninth National Conference on Artificial Intelligence</booktitle> <pages>  (pp. 596-600). </pages> <address> Anaheim, CA: </address> <publisher> MIT Press. </publisher> <volume> 15 </volulme>

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utgoff1991aaai  <author> P. E. Utgoff and J. A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth National Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <year> 1991. </year>

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utgoff1991aaai  <author> P.E. Utgoff and J.A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA, </address><date>1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> P.E. Utgoff and J.A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA,</address><date> 1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> P. Utgoff and J. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceeding of the Ninth National Conference on Artificial Intelligence (AAAI-91). </booktitle> <publisher> AAAI Press, </publisher> <year> 1991. </year>

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utgoff1991aaai  <author> P. E. Utgoff and J. A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA, </address><date>1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> P. E. Utgoff and J. A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA, </address><date>1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> P. E. Utgoff and J. A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA, </address><date>1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> P. E. Utgoff and J. A. Clouse. </author> <title> Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of the Ninth Annual Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> San Mateo, CA,</address><date> 1991. </date> <publisher> Morgan Kaufmann. </publisher>

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utgoff1991aaai  <author> Utgoff, P. </author> <title> and Clouse (1991). Two kinds of training information for evaluation function learning. </title> <booktitle> In Proceedings of Ninth National Conference on Artificial Intelligence, </booktitle> <pages> pages 596-600, </pages> <address> Anaheim. </address> <publisher> AAAI Press/MIT Press. </publisher>

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utgoff1991lmdt <author> Utgoff, P. E. and Brodley C. E. </author> <year> (1991).</year><title> Linear machine decision trees </title><type>(Technical Report 10). </type> <address> Amherst, MA: University of Massachusetts, </address><institution>Department of Computer Science. </institution>
 

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utgoff1991lmdt <author> Utgoff, P. E. and Brodley C. E. </author> <year> (1991). </year><title>Linear machine decision trees </title><type>(Technical Report 10). </type> <address> Amherst, MA: University of Massachusetts,</address><institution> Department of Computer Science. </institution> 
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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear ma-chine decision trees. </title> <type> Tech. rep., </type> <address> University of Massachusetts, Amherst, MA. </address>

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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees, </title> <type> (COINS Technical Report 91-10), </type> <address> Amherst, MA: University of Massachusetts, </address><institution>Department of Computer and Information Science. </institution>

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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees, </title> <type> (COINS Technical Report 91-10), </type> <address> Amherst, MA: University of Massachusetts, </address><institution>Department of Computer and Information Science. </institution>

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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees. </title> <type> Tech. rep. 10, </type> <address> University of Massachusetts at Amherst. </address> <NEWREFERENCE>669
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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees. </title> <type> Tech. rep. 10, </type> <address> University of Massachusetts at Amherst. </address> 
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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees. </title> <type> Tech. rep. 10, </type> <address> University of Massachusetts at Amherst. </address> <NEWREFERENCE>673
utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees. </title> <type> Tech. rep. 10, </type> <address> University of Massachusetts at Amherst. </address> 
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utgoff1991lmdt <author> Utgoff, P. E., & Brodley, C. E. </author> <year> (1991). </year> <title> Linear machine decision trees. </title> <type> Tech. rep. 10, </type> <address> University of Massachusetts at Amherst. </address> <NEWREFERENCE>675
utgoff1991lmdt <author> Utgoff, P. E., Brodley, C. E. </author> <year> (1991). </year> <title> Linear Machine Decision Trees, </title> <type> COINS Technical Report 91-10, </type> <institution> Dept. of Computer Science,</institution> <address>University of Massachusetts. </address>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <institution> University of Massachusetts, Amherst MA, </institution> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1991lmdt  <author> Paul E. Utgoff and Carla E. Brodley. </author> <title> Linear machine decision trees. </title> <type> Technical Report 10, </type> <address> University of Massachusetts, Amherst MA, </address> <year> 1991. </year>

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utgoff1994  <author> Utgoff, P. </author> <title> An Improved Algorithm for Incremental Induction of Decision Trees. </title> <editor> In Cohen, W. and Hirsh, H., editors, </editor> <booktitle> Proceedings of the Eleventh International Conference on Machine Learning, </booktitle> <pages> pages 318-325, </pages> <address> Rutgers University, New Brunswick, NJ,</address><year> 1994. </year> <publisher> Morgan Kaufmann. </publisher>

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utgoff1994  <author> Utgoff, P. </author> <title> An Improved Algorithm for Incremental Induction of Decision Trees. </title> <editor> In Cohen, W. and Hirsh, H., editors, </editor> <booktitle> Proceedings of the Eleventh International Conference on Machine Learning, </booktitle> <pages> pages 318-325, </pages> <address> Rutgers University, New Brunswick, NJ,</address><year> 1994. </year> <publisher> Morgan Kaufmann. </publisher>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1994  <author> Paul E. Utgoff. </author> <title> An improved algorithm for incremental induction of decision trees. </title> <booktitle> In ML-94 , </booktitle> <pages> pages 318-325. </pages> <editor> Editors: William W. Cohen and Haym Hirsh. </editor>

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utgoff1995  <author> Paul E. Utgoff. </author> <title> Decision tree induction based on efficient tree restructuring. </title> <type> Technical Report 95-18, </type> <address> University of Massachusetts, </address> <month> March </month> <year> 1995. </year>

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utgoff1995  <author> Paul E. Utgoff. </author> <title> Decision tree induction based on efficient tree restructuring. </title> <type> Technical Report 95-18, </type> <address> University of Massachusetts, </address> <month> March </month> <year> 1995. </year>


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utgoff1996 <author> Utgoff, P.E. </author> <year> (1996), </year> <title> Decision Tree Induction Based on Efficient Tree Restructuring, </title> <type> Technical Report 95-18, </type> <institution> University of Massachusetts, Department of Computer Science,</institution><address> Amherst, MA. </address>

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utgoff1996 <author> Utgoff, P.E. </author> <year> (1996), </year> <title> Decision Tree Induction Based on Efficient Tree Restructuring, </title> <type> Technical Report 95-18, </type> <institution> University of Massachusetts, Department of Computer Science, </institution><address>Amherst, MA. </address>

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utgoff1996ks <author> Utgoff, P. E., & Clouse, J. A. </author> <year> (1996). </year> <title> A Kolmogorov-Smirnoff metric for decision tree induction, </title> <type> (Technical Report 96-3), </type> <address> Amherst, MA: University of Massachusetts,</address><institution> Department of Computer Science. </institution>

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utgoff1996ks <author> Utgoff, P.E. and Clouse J.A. </author> <year> (1996),</year><title> A Kolmogorov-Smirnoff Metric for Decision Tree Induction, </title> <type> Technical Report 96-3, </type> <institution> University of Massachusetts, Department of Computer Science,</institution><address> Amherst, MA. </address>

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utgoff1996ks <author> Utgoff, P.E. and Clouse J.A. </author> <year> (1996),</year><title> A Kolmogorov-Smirnoff Metric for Decision Tree Induction, </title> <type> Technical Report 96-3, </type> <institution> University of Massachusetts, Department of Computer Science, </institution><address>Amherst, MA. </address>

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utgoff1996mlii  <author> P.E. Utgoff, </author> <title> Shift of bias of inductive concept learning. In R.S. </title> <editor> Michalski, J.G. Carbonell, and T.M. Mitchell (eds.), </editor> <booktitle> Machine Learning: An Artificial Intelligence Approach</booktitle><volume> (Vol. II), </volume> <address> San Mateo, CA: </address> <publisher> Morgan Kaufmann, </publisher> <pages> 107-148. </pages>

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utgoff1996va  <author> Paul E. Utgoff. </author> <title> Feature function learning for value approximation. </title> <type> Technical Report 96 09. </type> <institution> University of Massachusetts,</institution><address> Amherst, MA. </address> <date> Jan 20, </date> <date> 1996. </date>

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utgoff1997 <author> Utgoff, P. E., Berkman, N. C., & Clouse, J. A. </author> <title>  Decision tree induction based on efficient tree restructuring. </title> <journal> Machine Learning. </journal>

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utgoff1997 <author> Utgoff, P. E.; Berkman, N. C.; and Clouse, J. A. </author> <year> 1997. </year> <title> Decision tree induction based on efficient tree restructuring. </title> <journal> Machine Learning</journal><volume> 29(1)</volume>

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utgoff1997  <author> Paul E. Utgoff, Neil C. Berkman, and Jeffery A. Clouse. </author> <title> Decision tree induction based on efficient tree restructuring. Machine Learning, </title> <volume> 29:5, </volume> <year> 1997. </year>

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utgoff1997  <author> Paul E. Utgoff, Neil C. Berkman, and Jeffery A. Clouse. </author> <title> Decision tree induction based on efficient tree restructuring. Machine Learning, </title> <volume> 29:5, </volume> <year> 1997. </year>

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yee1990  <author> R.C. Yee, S. Saxena, P.E. Utgoff, and A.G. Barto. </author> <title> Explaining temporal differences to create useful concepts for evaluating states. </title> <booktitle> In Proceedings of the Eighth National Conference on Artificial Intelligence, </booktitle> <pages> pages 882-888, </pages> <address> Cambridge, MA, </address> <year> 1990. </year>

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yee1990  <author> Richard C. Yee, Sharad Saxena, Paul E. Utgoff, and Andrew C. Barto. </author> <title> Explaining temporal-differences to create useful concepts for evaluating states. </title> <booktitle> In Proceedings of AAAI-90, </booktitle> <year> 1990. </year> <volume> 18 </volume>

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yee1990  <author> Richard C. Yee, Sharad Saxena, Paul E. Utgoff, and Andrew C. Barto. </author> <title> Explaining temporal-differences to create useful concepts for evaluating states. </title> <booktitle> In Proceedings of AAAI-90, </booktitle> <year> 1990. </year>

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zheng1993  <author> Q. Zheng, </author> <title> Real-time Fault-tolerant Communication in Computer Networks, </title> <type> PhD thesis, </type> <address> University of Michigan, </address> <year> 1993. </year> <note> PostScript version of the thesis is available via anonymous FTP from ftp.eecs.umich.edu in directory outgoing/zheng. </note>

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