Parameter Learning of Bayesian Network Classifiers Under Computational Constraints.
Sebastian TschiatschekFranz PernkopfPublished in: ECML/PKDD (1) (2015)
Keyphrases
- bayesian network classifiers
- parameter learning
- structure learning
- bayesian networks
- discriminative parameter learning
- generative model
- conditional random fields
- statistical learning
- graphical models
- em algorithm
- parameter estimation
- markov random field
- classification accuracy
- discriminative learning
- conditional independence
- hidden variables
- naive bayes
- benchmark data sets
- approximate inference
- maximum likelihood
- text classification
- knn
- probabilistic inference
- network structure
- transfer learning
- naive bayes classifier