Unsupervised Learning of Noisy-Or Bayesian Networks.
Yonatan HalpernDavid A. SontagPublished in: UAI (2013)
Keyphrases
- unsupervised learning
- bayesian networks
- inference in bayesian networks
- graphical models
- supervised learning
- learning bayesian networks
- probabilistic inference
- object recognition
- deep learning
- probabilistic model
- probability distribution
- semi supervised
- structure learning
- parameter learning
- conditional probabilities
- bayesian network inference
- machine learning
- model selection
- text classification
- probabilistic reasoning
- pattern recognition
- feature selection
- probabilistic modeling
- cluster analysis
- expectation maximization
- incomplete data
- conditional independence
- dimensionality reduction
- deep architectures
- bayesian network classifiers
- bayesian network learning
- multiply sectioned bayesian networks
- bayesian network structure
- diagnostic reasoning
- markov blanket
- junction tree
- exact inference
- random variables
- reinforcement learning
- information retrieval