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Knowledge Engineering - PowerPoint PPT Presentation


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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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Presentation Transcript
knowledge engineering

Representation

Probabilistic

Graphical

Models

Wrapup

Knowledge Engineering

important distinctions
Important Distinctions
  • Template based versus specific
  • Directed versus undirected
  • Generative versus discriminative
  • Hybrids are also common
important distinctions1
Important Distinctions

Template-based

Specific

important distinctions2
Important Distinctions

Generative

Discriminative

variable types
Variable Types
  • Target
  • Observed
    • Including complex, constructed features
  • Latent

GMT

W1

W2

W3

Wk

structure
Structure
  • Causal versus non-causal ordering

GMT

W1

W1

W2

W2

W3

W3

Wk

Wk

GMT

parameters values
Parameters: Values
  • What matters:
    • Zeros
    • Orders of magnitude
    • Relative values
  • Structured CPDs
parameters local structure
Parameters: Local Structure
  • Table CPDs are the exception
iterative refinement
Iterative Refinement
  • Model testing
  • Sensitivity analysis for parameters
  • Error analysis
    • Add features
    • Add dependencies