1

Probability Review, Directed Acyclic Graphs, BigO Notation (PDF)

2

Graphical Model Definitions and Examples (PDF)

2

Recitation 2 Solutions (PDF)

3

Gaussian Graphical Models: Schur’s Complement (PDF)

4

Elimination Algorithm, Reconstituted Graph, Triangulation (PDF)

5

Review for Quiz 1 (PDF)

6

Hardness of Inference (PDF)

7

Big Picture So Far, Gaussian BP, Kalman Filtering and Smoothing (PDF)

8

Junction Trees (PDF)

9

Loopy BP (PDF)

10

No Recitation Notes

11

Markov Chain Monte Carlo Methods, Particle Filters (PDF  1.7MB)

12

EM Algorithm (PDF  2.2MB)

Toy Example for EM algorithm (PDF  1.2MB)

Example of Graph with Multiple Junction Trees (PDF)
