From continuous to discrete variables for Bayesian network classifiers.
Fatima El-MatouatOlivier ColotPatrick VannoorenbergheJacques LabichePublished in: SMC (2000)
Keyphrases
- discrete variables
- bayesian network classifiers
- continuous variables
- structure learning
- bayesian networks
- markov networks
- naive bayes
- discriminative learning
- exact inference
- classification accuracy
- graphical models
- machine learning
- penalty function
- random variables
- probabilistic model
- probabilistic inference
- dynamic systems
- computationally expensive
- conditional independence
- transfer learning
- active learning
- reinforcement learning
- feature selection
- data sets