Scalable statistical learning: A modular bayesian/markov network approach.
Antonino FrenoEdmondo TrentinMarco GoriPublished in: IJCNN (2009)
Keyphrases
- statistical learning
- markov networks
- posterior probability
- maximum likelihood
- bayesian inference
- bayesian networks
- graphical models
- probabilistic model
- information theory
- belief propagation
- supervised learning
- first order logic
- model selection
- posterior distribution
- structure learning
- conditional random fields
- machine learning
- hidden variables
- bayesian framework
- conditional probabilities
- probability distribution
- document classification
- em algorithm
- maximum a posteriori
- text mining
- expert systems
- generative model
- markov random field
- object recognition
- active learning
- graph cuts
- random variables
- semi supervised learning