CSC412S Spring 2003 - Textbook and Other Readings

Textbook

The textbook for the class is Michael Jordan, An Introduction to Probabilistic Graphical Models
This textbook is not yet published, but drafts are available online.

Click here to access the book.

The user name and password will be provided in class.

Readings

  • Jan6/8 - Chapter 2.1 and Chapter 5.2
  • Jan13/15 - rest of Chapters 2 and 5, Chapter 13
  • Jan20 - Chapter 6.3,6.6,9.1,9.2 and Chapter 8
  • Jan22 - Chapter 7
  • Jan27 - no book chapter, see extra notes here
  • Jan29 - Chapter 9.4, Chapter 10 except EM algorithm
  • Feb3 - rest of Chapter 10, Chapter 11
  • Feb 5 - Chapter14
  • Feb24 - Bayesian model stuff and plates from chapter 5
  • Feb26 - Chapter 3
  • March3 -- Chapter 4 except factor graphs
  • March5,10 -- Chapter 12
  • March12,17,19 -- Chapter 17
  • March24 -- Chapter 18 HMM part
  • March26 -- Chapter 20
  • April 7 -- Chapter 4.2

Additional Material


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CSC412 - Uncertainty and Learning in Artificial Intelligence || www.cs.toronto.edu/~roweis/csc412/