Bayesian Network Score Approximation using a Metagraph Kernel.
Benjamin YackleyEduardo CoronaTerran LanePublished in: NIPS (2008)
Keyphrases
- bayesian networks
- bayesian network inference
- marginal likelihood
- probabilistic model
- kernel function
- kernel methods
- score function
- approximation error
- graphical models
- error bounds
- kernel regression
- probabilistic reasoning
- support vector
- series expansion
- incomplete data
- conditional independence
- bayesian network classifiers
- positive definite
- probabilistic inference
- learning bayesian networks
- conditional probabilities
- closed form
- uncertain knowledge
- polynomial kernels
- inference in bayesian networks
- naive bayes
- principal component analysis