Learning Bayesian network classifiers by maximizing conditional likelihood.
Daniel GrossmanPedro M. DomingosPublished in: ICML (2004)
Keyphrases
- bayesian network classifiers
- conditional likelihood
- discriminative learning
- discriminative parameter learning
- structure learning
- bayesian networks
- benchmark data sets
- markov networks
- parameter learning
- naive bayes
- saddle point
- conditional random fields
- posterior probability
- logistic regression
- classification accuracy
- graphical structure
- learning algorithm
- data sets
- first order logic
- class imbalance
- machine learning algorithms
- generative model
- naive bayes classifier
- maximum likelihood
- supervised learning
- prior knowledge
- decision trees