Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
Yoshitaka KameyaTaisuke SatoPublished in: CoRR (2011)
Keyphrases
- statistical modeling
- logic programs
- parameter learning
- bayesian networks
- logic programming
- statistical models
- structure learning
- conditional random fields
- maximum likelihood
- statistical learning
- generative model
- parameter estimation
- em algorithm
- answer sets
- stable models
- approximate inference
- background knowledge
- markov random field
- fixpoint
- expectation maximization
- normal logic programs
- answer set programming
- inductive logic programming
- strong equivalence
- partial deduction
- higher order
- computer vision
- hidden variables
- conditional independence
- hidden markov models
- pairwise