Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.
Aritz Pérez MartínezPedro LarrañagaIñaki InzaPublished in: Int. J. Approx. Reason. (2006)
Keyphrases
- naive bayes
- supervised classification
- bayesian classifiers
- decision trees
- classification accuracy
- attribute dependencies
- logistic regression
- text classification
- naive bayes classifier
- supervised learning
- text categorization
- independence assumption
- test instances
- network structure
- augmented naive bayes
- feature selection
- unsupervised learning
- training data
- cost sensitive
- bayesian classifier
- pattern recognition
- bayesian networks
- feature space
- bayesian network classifiers
- probability distribution
- pairwise
- text classifiers
- training set
- conditional probabilities
- conditional independence assumption
- averaged one dependence estimators
- support vector machine