Parameter Learning of Logic Programs for Symbolic-Statistical Modeling.
Taisuke SatoYoshitaka KameyaPublished in: J. Artif. Intell. Res. (2001)
Keyphrases
- logic programs
- statistical modeling
- parameter learning
- statistical models
- bayesian networks
- logic programming
- structure learning
- parameter estimation
- statistical learning
- conditional random fields
- maximum likelihood
- em algorithm
- generative model
- fixpoint
- answer sets
- stable models
- markov random field
- approximate inference
- answer set programming
- background knowledge
- graphical models
- hidden variables
- normal logic programs
- expectation maximization
- partial deduction
- information theory
- strong equivalence
- higher order
- least squares
- pairwise
- bayesian network classifiers
- feature selection
- machine learning