Inner Product Spaces for Bayesian Networks.
Atsuyoshi NakamuraMichael SchmittNiels SchmittHans Ulrich SimonPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- bayesian networks
- hilbert space
- structure learning
- graphical models
- vector space
- conditional independence
- probability distribution
- probabilistic reasoning
- probabilistic model
- conditional probabilities
- expert knowledge
- probabilistic inference
- bayesian network structure
- diagnostic reasoning
- learning bayesian networks
- bayesian network inference
- parameter learning
- bayesian belief networks
- von neumann
- design space
- feature selection
- inference in bayesian networks
- approximate inference