Computational Theories of Learning and
Reasoning
Fall 1999
Tue/Thu 9:30  10:45
3262
DCL
Announcements 
(updated 11/9/99) 
 The next paper to be presented is
Learning to take Actions

As of October 12 we will meet in 3211 DCL instead of the usual room
due to he remodeling of the Administration offices.
 On Thursday, Nov 11, we meet also at 12:45, at 2222 DCL.
Past
announcements
Course
Information
Handouts
Lecture
Notes
Problem
Sets
Text:
This is an excellent text for the basics of computational learning
theory;
but, I am not going to follow it closely. Most of the material
will be
available from articles given in class.

Kearns and Vazirani, Introduction to Computational Learning Theory
(MIT Press 1994)
Recommended books:
(No need to buy unless you plan to work in this area)

Judea Pearl
Probabilistic Reasoning in Intelligent Systems :
Networks of Plausible Inference
Academic Press/Morgan Kaufmann;

Steffen L. Lauritzen
Graphical Models
Oxford Statistical Science Series, 17
Dan Roth