Distributed Parameter Learning for Probabilistic Ontologies.
Giuseppe CotaRiccardo ZeseElena BellodiFabrizio RiguzziEvelina LammaPublished in: ILP (2015)
Keyphrases
- parameter learning
- bayesian networks
- generative model
- structure learning
- factor graphs
- statistical learning
- probabilistic model
- distributed systems
- approximate inference
- conditional random fields
- parameter estimation
- em algorithm
- knowledge base
- hidden variables
- conditional probabilities
- maximum likelihood
- graphical models
- computer vision
- expectation maximization
- posterior probability
- topic models
- semi supervised learning
- supervised learning
- conditional independence
- least squares
- semi supervised