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 JAN  No Class 


H 18 JAN  Evaluating 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 JAN  No 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, 237285.
 Yolum 
H 1 FEB  Reinforcement Learning II  "  Mallya 
T 6 FEB  Reinforcement Learning III 
Sutton, R.S.,
"Learning to Predict by the Methods of Temporal Differences,"
Machine Learning 3, 1988, 944.
 Chatterjee 
H 8 FEB  "  "  " 
T 13 FEB  Reinforcement Learning IV 
Tesauro, G.,
"Practical Issues in Temporal Difference Learning,"
Machine Learning 8, 1992, 257277.
 Wilson 
H 15 FEB  Decision Tree Induction I 
J.R. Quinlan,
"Induction of Decision Trees"
Machine Learning 1:81106,
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, 227243.

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, 2937.

Bicici 
T 27 FEB  Inductive Logic Programming I 
Mitchell, T.M.,
"Generalization as Search,"
Artificial Intelligence 18, 1982, 203226.
 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 FirstOrder and FeatureBased
Induction,"
Artificial Intelligence 85(1/2), 1996, 277299.
 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 
 MIDPROJECT 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 MAR  Bayesian Learning 
Heckerman, D.,
"A Tutorial on Learning With Bayesian Networks,"
Tech. Rept. MSRTR9506, Redmond WA: Microsoft
Research, 1995 (Revised 1996).  Wilson 
H 29 MAR  "  "  Bicici 
T 3 APR  "  "  " 
H 5 APR  MDL Bayesian Learning 
Lam, W. and F. Bacchus,
"Learning Bayesian Belief Networks: An Approach Based on the MDL
Principle,"
Computational Intelligence 10(3), 1994, 269293.
 Bailey 
T 10 APR  Neural Models 
Hertz, J., A. Krogh, and R.G. Palmer,
Introduction to the Theory of Neural Computation,
Reading MA: AddisonWesley, 1991 (excerpt).
 Poon 
H 12 APR  NO 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 APR  Mixed 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, 906914.
 Mallya 
T 24 APR  Unsupervised Learning via Clustering 
Fasulo, D.,
"An Analysis of Recent Work on Clustering Algorithms,"
Tech. Rept. 010302, Dept. of Computer Science and Engineering,
Univ. of Washington, 1999.
 Chatterjee 
H 26 APR  Relevance Learning and Feature Selection 
Blum, A. L. and P. Langley,
"Selection of Relevant Features and Examples in Machine Learning,"
Artificial Intelligence 97(12), 1997, 215234.
 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   