Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models - Tapa blanda

Sinopsis

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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