1. Representation
Probabilistic
Graphical
Models
Local Structure
Overview

2. Tabular Representations
0.3
0.08
0.25
0.4 g2
0.02
0.9
i1,d0
0.7
0.05
i0,d1
0.5 g1 g3
0.2
i1,d1
i0,d0

3. General CPD

4. Many Models Deterministic CPDs Context-specific CPDs (trees, rules)
Logistic CPDs & generalizations
Noisy OR / AND
Linear Gaussians & generalizations

5. General Factors: Log-linear Model

6. Context-Specific Independence
Example: OR, AND

7. Y1 Y2
Which of the following context-specific independences hold when X is a deterministic OR of Y1 and Y2? (Mark all that apply.) X

8. END END END