Week

Topics

Readings

1

Overview of Machine Learning

Texts: Mitchell, Chapter 1

Nilsson, Chapter 1, Chapter 2

Concept Learning and the General-to-Specific Ordering

Texts: Mitchell, Chapter 2

Nilsson, Chapter 3

Papers: Smith &= Rosenbloom, 1990

Seba= g, 1994, S= ebag, 1996

3

Decision Tree Learning

Texts: Mitchell, Chapter3

Nilsson, Chapter 6

Papers: Breiman et al., 1984

Murth= y et al., 1994

4

Artificial Neural Networks

Texts: Mitchell, Chapter 4

Nilsson, Chapter 4

Papers: Fahlman & Lebiere, 1990

Pomerleau,= 1991

5

Experimental Evaluation of Learning Algorithms

Texts: Mitchell, Chapter 5

Papers: Geman et al., 1992

Dietterich= & Kong, 1995

6

Bayesian Learning

Texts: Mitchell, Chapter 6

Nilsson, Chapter 5

Papers: J= oachims, 1996

Heckerman et al., 1995

7

Instance-Based Learning

Texts: Mitchell, Chapter 8

Papers: Kasif et= al., 1998

Atk= eson et al., 1997

8

Computational Learning Theory

Texts: Mitchell, Chapter 7

Nilsson, Chapter 8

Papers: Kearns et= al. 1991

Haussler= et al, 1997

9

Rule Learning/Inductive Logic Programming

Texts: Mitchell, Chapter 10

Nilsson, Chapter 7

Papers: Bratko= & Muggleton, 1995

Muggle= ton, 1998, Cohen

10

Unsupervised Learning

Texts: Nilsson, Chapter 9

Papers: Fisher, 1987

Kohonen,= 1998

11

Analytical Learning

Texts: Mitchell, Chapter 11

Papers: Bratko= & Muggleton, 1995

Muggle= ton, 1998, Coh= en, 1995

12

Combining Classifiers, Mixture Models

Papers: Breiman= , 1996

Sch= apire, 1999

Jacobs et al., 1991

Shimshoni & Intrator, 1995

13

Projects Presentation