Naive Feature Selection: Sparsity in Naive Bayes.
Armin AskariAlexandre d'AspremontLaurent El GhaouiPublished in: AISTATS (2020)
Keyphrases
- naive bayes
- feature selection
- text categorization
- text classification
- classification accuracy
- decision trees
- logistic regression
- information gain
- naive bayes classifier
- test instances
- bayesian classifier
- classification algorithm
- bayes classifier
- uci datasets
- uci data sets
- training data
- text classifiers
- bayesian network classifiers
- naive bayesian classifier
- machine learning
- support vector
- base classifiers
- dimensionality reduction
- probabilistic classifiers
- high dimensional
- knn
- cost sensitive
- multi class
- independence assumption
- training set
- naive bayes classification
- averaged one dependence estimators
- support vector machine
- feature subset
- high dimensionality
- pairwise
- feature space
- natural language processing
- bayesian networks
- data mining
- unsupervised learning