1. Knowledge Engineering
Representation
Probabilistic
Graphical
Models
Wrapup
Knowledge Engineering

2. Important Distinctions
Template based versus specific
Directed versus undirected
Generative versus discriminative
Hybrids are also common

3. Important Distinctions
Template-based
Specific

4. Important Distinctions
Generative
Discriminative

5. Variable Types Target Observed Latent
Including complex, constructed features
Latent
GMT W1 W2 W3 Wk …

6. Structure Causal versus non-causal ordering … … GMT W1 W2 W3 Wk GMT W1

7. Extending the Conversation

8. Parameters: Values What matters: Structured CPDs Zeros
Orders of magnitude
Relative values
Structured CPDs

9. Parameters: Local Structure
Table CPDs are the exception
Context-specific
Aggregating
Discrete
Continuous

10. Iterative Refinement Model testing Sensitivity analysis for parameters
Error analysis
Add features
Add dependencies

11. END END END