Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.
M. Julia FloresJosé A. GámezAna M. MartínezAntonio SalmerónPublished in: ISDA (2011)
Keyphrases
- supervised classification
- averaged one dependence estimators
- naive bayes
- decision trees
- supervised learning
- training data
- classification accuracy
- text classification
- logistic regression
- unsupervised learning
- classification algorithm
- naive bayes classifier
- text categorization
- bayesian classifiers
- bayesian networks
- attribute independence assumption
- probabilistic classifiers
- bayesian network classifiers
- image segmentation
- machine learning
- class probabilities
- real world
- tree augmented naive bayes
- naive bayesian classifier
- probability estimation
- bayesian classifier
- text classifiers
- cost sensitive
- model averaging
- neural network
- data analysis
- expectation maximization