Scaling Structure Learning of Probabilistic Logic Programs by MapReduce.
Fabrizio RiguzziElena BellodiRiccardo ZeseGiuseppe CotaEvelina LammaPublished in: ECAI (2016)
Keyphrases
- structure learning
- probabilistic logic programs
- graphical models
- bayesian networks
- conditional independence
- transfer learning
- parameter learning
- parameter estimation
- logic programming
- network structure
- markov logic networks
- random variables
- sample size
- probability distribution
- probabilistic logic
- markov networks
- belief propagation
- learning algorithm
- reinforcement learning
- hidden variables
- semi supervised
- higher order