CSC 720 Spring 2001 Tentative Schedule

Date Topic Reading Assignment Presenter
T 9 JAN Introduction
Bahler
H 11 JAN Overview Ch. 11 ("Learning") in David Poole, Alan Mackworth, and Randy Goebel, Computational Intelligence: A Logical Approach, New York: Oxford, 1998. Bahler
T 16 JANNo Class

H 18 JANEvaluating Learning Systems Ch. 2 ("How to Estimate the True Performance of a Learning System") in S. M. Weiss and C. A. Kulikowski, Computer Systems That Learn, San Francisco: Morgan Kaufmann, 1991. Bicici
T 23 JANNo Class

H 25 JAN Prescient Prehistory Arthur Samuel, "Some Studies in Machine Learning Using the Game of Checkers," IBM Journal of Research and Development 3(3), July, 1959. Reprinted in E. A. Feigenbaum and J. Feldman (Eds.), Computers and Thought, New York: McGraw Hill, 1963. Bailey
T 30 JAN Reinforcement Learning I Kaelbling, L.P., M.L. Littman, and A.W. Moore, "Reinforcement Learning: A Survey," Jour. of Artificial Intelligence Research 4, 1996, 237-285. Yolum
H 1 FEBReinforcement Learning II " Mallya
T 6 FEBReinforcement Learning III Sutton, R.S., "Learning to Predict by the Methods of Temporal Differences," Machine Learning 3, 1988, 9-44. Chatterjee
H 8 FEB " " "
T 13 FEBReinforcement Learning IV Tesauro, G., "Practical Issues in Temporal Difference Learning," Machine Learning 8, 1992, 257-277. Wilson
H 15 FEB Decision Tree Induction I J.R. Quinlan, "Induction of Decision Trees" Machine Learning 1:81-106, 1986. Poon
T 20 FEB Decision Tree Induction II Mingers, J., "An Empirical Comparison of Pruning Methods for Decision Tree Induction," Machine Learning 4(2), 1989, 227-243. Wei
H 22 FEB Decision Tree Induction III Bahler, D. and D.W. Bristol, "The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents," in L. Hunter, J. Shavlik, and D. Searls, eds. Intelligent Systems for Molecular Biology, Menlo Park, CA: AAAI/MIT Press, 1993, 29-37. Bicici
T 27 FEB Inductive Logic Programming I Mitchell, T.M., "Generalization as Search," Artificial Intelligence 18, 1982, 203-226. Yolum
H 1 MAR Inductive Logic Programming II Srinivasan, A., S.H. Muggleton, M.J.E. Sternberg, and R.D. King, "Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction," Artificial Intelligence 85(1/2), 1996, 277-299. Mallya
T 6 MAR Inductive Logic Programming III Lavrac, N. and S. Dzeroski, Inductive Logic Programming: Techniques and Applications, New York: Ellis Horwood, 1994 (excerpts). Chatterjee
H 8 MAR "" Wei
F 9 MAR
Drop Date
T 13 MAR SPRING BREAK

H 15 MAR SPRING BREAK

T 20 MAR
MID-PROJECT PROGRESS REPORTS (10 min.)
T 22 MAR Introduction to Bayesian Models and Learning Jensen, F.V., An Introduction to Bayesian Networks, New York: Springer, 1996 (excerpts).Bahler
T 27 MARBayesian Learning Heckerman, D., "A Tutorial on Learning With Bayesian Networks," Tech. Rept. MSR-TR-95-06, Redmond WA: Microsoft Research, 1995 (Revised 1996).Wilson
H 29 MAR""Bicici
T 3 APR"""
H 5 APRMDL Bayesian Learning Lam, W. and F. Bacchus, "Learning Bayesian Belief Networks: An Approach Based on the MDL Principle," Computational Intelligence 10(3), 1994, 269-293. Bailey
T 10 APR Neural Models Hertz, J., A. Krogh, and R.G. Palmer, Introduction to the Theory of Neural Computation, Reading MA: Addison-Wesley, 1991 (excerpt). Poon
H 12 APRNO CLASS

T 17 APR Neural Applications Bahler, D. and B. Stone, "Neural Models and Extracted Rules for Knowledge Discovery in Predictive Toxicology," (to appear). Yolum
H 19 APRMixed Applications Dennis Bahler, C. Wellington, B. Stone, and D. Bristol, "Symbolic, Neural, and Bayesian Machine Learning Models for Predicting Carcinogenicity of Chemical Compounds," J. Chemical Information and Computer Sciences 40 (4), July/August 2000, 906-914. Mallya
T 24 APRUnsupervised Learning via Clustering Fasulo, D., "An Analysis of Recent Work on Clustering Algorithms," Tech. Rept. 01-03-02, Dept. of Computer Science and Engineering, Univ. of Washington, 1999. Chatterjee
H 26 APRRelevance Learning and Feature Selection Blum, A. L. and P. Langley, "Selection of Relevant Features and Examples in Machine Learning," Artificial Intelligence 97(1-2), 1997, 215-234. Wilson
T 1 MAY
PROJECT PRESENTATIONS (15 min.)
H 3 MAY
PROJECT PRESENTATIONS (15 min.),Exam Out
F 4 MAY Written Project Reports Due 1700

T 15 MAY Final Exam Due 1600



Any comments or suggestions are always welcome.
Dr. Dennis Bahler / Whole Class / Anonymous Comments to Dr. Bahler