Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization.
Zhao SongRicardo HenaoDavid E. CarlsonLawrence CarinPublished in: AISTATS (2016)
Keyphrases
- monte carlo
- belief networks
- markovian decision
- learning process
- expectation maximization
- learning algorithm
- probability distribution
- monte carlo simulation
- adaptive sampling
- genetic algorithm
- monte carlo tree search
- probabilistic inference
- particle filter
- markov chain
- graphical models
- supervised learning
- em algorithm
- conditional probabilities
- maximum likelihood
- importance sampling
- bayesian belief networks
- temporal difference learning
- monte carlo methods
- active learning
- image segmentation
- machine learning