Parameter Learning in PRISM Programs with Continuous Random Variables
Muhammad Asiful IslamC. R. RamakrishnanI. V. RamakrishnanPublished in: CoRR (2012)
Keyphrases
- random variables
- parameter learning
- bayesian networks
- structure learning
- graphical models
- conditional independence
- continuous variables
- conditional random fields
- probabilistic graphical models
- probability distribution
- approximate inference
- statistical learning
- generative model
- probabilistic model
- maximum likelihood
- stochastic optimization problems
- factor graphs
- em algorithm
- conditional probabilities
- latent variables
- markov networks
- belief propagation
- probabilistic inference
- hidden variables
- parameter estimation
- expectation maximization
- higher order
- independent and identically distributed
- markov random field
- exact inference
- image processing
- incomplete data
- machine learning
- labeled data
- least squares