Alleviating naive Bayes attribute independence assumption by attribute weighting.
Nayyar Abbas ZaidiJesús CerquidesMark James CarmanGeoffrey I. WebbPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- naive bayes
- attribute independence assumption
- averaged one dependence estimators
- decision trees
- low variance
- classification accuracy
- text classification
- logistic regression
- training data
- text categorization
- naive bayes classifier
- cost sensitive
- naive bayesian classifier
- bayesian networks
- probability estimation
- bayesian classifier
- uci data sets
- feature selection
- classification algorithm
- uci datasets
- test instances
- machine learning
- term weighting
- information gain
- data sets
- bayesian network classifiers
- bayesian classifiers
- lazy learning
- text classifiers
- tf idf
- locally weighted
- conditional independence assumption
- base classifiers