Machine Learning Lab Lunch

The Machine Learning Lab meets once per week to read papers and to discuss recent research. Our meetings are open to anyone who wishes to attend.

For Fall 2007, lab lunch meetings are on Thursdays from 1:00-2:15 in the Computer Science Building, room 243.

The Machine Learning and Friends Lunch is a separate weekly meeting on machine learning that is run by Andrew McCallum. Each week, a speaker gives a one hour talk on some topic in machine learning (defined broadly). These lunches are always open to anyone.

Past Lunch Meeting Topics

Spring 2004 Summer 2004 Fall 2004
Spring 2005 Summer 2005 Fall 2005
Spring 2006 Summer 2006 Fall 2006
Spring 2007 Summer 2007 Fall 2007

Fall 2007 Lunch Schedule

October 3 Stephen Murtagh
Paper discussion: Cohn, D. A.; Ghahramani, Z. & Jordan, M. I. Active Learning with Statistical Models. Journal of Artificial Intelligence Research, 1996, 4, 129-145.
October 10 Paul Utgoff
Research update: Birefringence
October 17 Ben Teixeira
Paper discussion: Frieler, Klaus. Visualizing Music on the Metric Circle. In Proceedings of the Eighth International Conference on Music Information Retrieval, 2007.
October 24 Phil Kirlin
Research update: Computational Schenkerian Analysis: Algorithmic walkthrough.
November 1 Aldo Briano
Paper discussion: Tzanetakis, G., Essl, G., Cook, P.R., "Automatic Musical Genre Classification of Audio Signals," In Proc. Int. Symposium on Music Information Retrieval (ISMIR), Bloomington, Indiana, 2001.
November 8 Paul Utgoff
Project discussion: Circuit simulator.
November 15 Steve Murtagh
Paper discussion: Skitka, L. J., Mosier, K. L., and Burdick, M. 1999. Does automation bias decision-making? Int. J. Hum.-Comput. Stud. 51, 5 (Nov. 1999), 991-1006.
November 29 Ben Teixeira
Paper discussion: A. McCallum, D. Freitag, and F. Pereira. Maximum entropy Markov models for information extraction and segmentation. In Proceedings of the Seventeenth International Conference on Machine Learning, pages 591--598, Stanford, CA, 2000. Morgan Kaufmann.
December 6 Phil Kirlin
Paper discussion: Marsden, Alan. Automatic Derivation of Musical Structure: A tool for Research on Schenkerian Analysis. Extended version of a paper from ISMIR 2007.
December 13 Steve Murtagh
Paper discussion: Sungsoon Park and Ling Rothrock, Systematic analysis of framing bias in missile defense: Implications toward visualization design, European Journal of Operational Research, Volume 182, Issue 3, 1 November 2007, Pages 1383-1398.
December 20 Paul Utgoff