Parameter Learning for Probabilistic Ontologies.
Fabrizio RiguzziElena BellodiEvelina LammaRiccardo ZesePublished in: RR (2013)
Keyphrases
- parameter learning
- bayesian networks
- generative model
- structure learning
- factor graphs
- probabilistic model
- statistical learning
- conditional random fields
- em algorithm
- maximum likelihood
- graphical models
- posterior probability
- markov random field
- approximate inference
- bayesian framework
- conditional probabilities
- expectation maximization
- parameter estimation
- probabilistic inference
- hidden variables
- image processing
- markov networks
- natural language