Bandit-based Monte-Carlo structure learning of probabilistic logic programs.
Nicola Di MauroElena BellodiFabrizio RiguzziPublished in: Mach. Learn. (2015)
Keyphrases
- monte carlo
- structure learning
- probabilistic logic programs
- markov chain
- graphical models
- bayesian networks
- conditional independence
- logic programming
- importance sampling
- parameter estimation
- probabilistic logic
- transfer learning
- random sampling
- sample size
- markov networks
- particle filter
- monte carlo tree search
- model selection
- network structure
- knowledge base
- pairwise
- maximum likelihood estimation
- probabilistic inference
- maximum entropy
- belief propagation
- state space