Learning Bayesian Belief Networks with Neural Network Estimators

Monti, Stefano, Cooper, Gregory F.

Dec-31-1997–Neural Information Processing Systems

The essential property of BBNs is summarized by the Markov condition, which asserts that each variable is independent of its non-descendants given its parents.

artificial intelligence, bayesian inference, network structure, (17 more...)

Neural Information Processing Systems

Dec-31-1997

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Country:
- Europe > United Kingdom
  - England (0.28)
- North America > United States
  - California > San Francisco County > San Francisco (0.14)

Genre:
- Research Report > Experimental Study (0.94)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (1.00)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (1.00)

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