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Instructor: Pedro Domingos Office: Allen 648 Office hours: Wednesdays 3:30-4:30 and by appointment |
TA: Daniel Lowd Office: Allen 216 Office hours: Mondays 2:30-3:30 and by appointment |
Class meets:
Mondays and Wednesdays from 12:00 to 1:20 in JHN 175
Final exam:
8:30-10:20 a.m. Thursday, Jun. 11, 2009 in JHN 175
Week | Dates | Topics & Lecture Notes | Readings |
---|---|---|---|
1 | March 30, April 1 | Introduction, basics of probability and statistical estimation | Ch. 1, 2 & 18 |
2 | April 6 & 8 | Mixture models and the EM algorithm (EM notes) | Ch. 20 |
3 | April 13 & 15 | Hidden Markov models and Kalman filters | Ch. 15 |
4 | April 20 & 22 | Bayesian networks and Markov networks | Ch. 3 - 5 |
5 | April 27 & 29 | Variable elimination, junction trees and belief propagation | Ch. 9 - 12 |
6 | May 4 & 6 | Sampling-based inference | Ch. 13 |
7 | May 11 & 13 | Learning Bayesian networks | Ch. 17 - 20 |
8 | May 18 & 20 | Learning Markov networks | Ch. 21 |
9 | May 25 & 27 | Dynamic Bayesian networks, particle filtering and relational models | Ch. 15 & 6 |
10 | June 1 & 3 | Decision theory and Markov decision processes (updated) | Ch. 23 & 24 |
(Assignments will be posted here once they are ready.)
Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to lowd] |