Unsupervised Learning of Noisy-Or Bayesian Networks.
Yonatan HalpernDavid A. SontagPublished in: CoRR (2013)
Keyphrases
- unsupervised learning
- bayesian networks
- supervised learning
- structure learning
- inference in bayesian networks
- probabilistic model
- cluster analysis
- bayesian network structure
- semi supervised
- bayesian network learning
- probabilistic reasoning
- machine learning
- graphical models
- object recognition
- expectation maximization
- learning bayesian networks
- feature selection
- deep architectures
- probability distribution
- conditional independence
- dimensionality reduction
- bayesian network inference
- probabilistic inference
- model selection
- conditional probabilities
- bayesian network classifiers
- bayesian network structures
- expert knowledge
- multiply sectioned bayesian networks
- junction tree
- complex domains
- parameter learning
- hidden variables
- naive bayes
- learning algorithm