Introduction.-
Bayesian Networks.-
Markov Random Fields.-
Introducing Hybrid Random Fields:
Discrete-Valued Variables.-
Extending Hybrid Random Fields:
Continuous-Valued Variables.-
Applications.-
Probabilistic Graphical Models:
Cognitive Science or Cognitive Technology? ..-
Conclusions.
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