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Knowledge Engineering

Representation. Probabilistic Graphical Models. Wrapup. Knowledge Engineering. Important Distinctions. Template based versus specific Directed versus undirected Generative versus discriminative Hybrids are also common. Important Distinctions. Template-based. Specific.

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Knowledge Engineering

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  1. 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 • Including complex, constructed features • Latent GMT … W1 W2 W3 Wk

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

  7. Extending the Conversation

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

  9. Parameters: Local Structure • Table CPDs are the exception

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

  11. END END END

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