Naive Feature Selection: Sparsity in Naive Bayes.
Armin AskariAlexandre d'AspremontLaurent El GhaouiPublished in: CoRR (2019)
Keyphrases
- naive bayes
- feature selection
- text classification
- classification accuracy
- text categorization
- decision trees
- logistic regression
- information gain
- uci datasets
- naive bayes classifier
- bayesian classifier
- cost sensitive
- classification algorithm
- text classifiers
- support vector
- bayes classifier
- high dimensional
- uci data sets
- naive bayesian classifier
- feature set
- support vector machine
- test instances
- training data
- probabilistic classifiers
- independence assumption
- augmented naive bayes
- naive bayes classification
- dimensionality reduction
- bayesian networks
- machine learning
- base classifiers
- unsupervised learning
- bayesian network classifiers
- multi class
- locally weighted
- data sets
- random forest
- model selection
- feature space
- feature extraction
- averaged one dependence estimators