Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes.
Armin AskariAlexandre d'AspremontLaurent El GhaouiPublished in: Math. Oper. Res. (2024)
Keyphrases
- naive bayes
- convex relaxation
- feature selection
- text categorization
- multi label
- text classification
- multiple kernel learning
- classification accuracy
- convex optimization
- decision trees
- information gain
- logistic regression
- globally optimal
- cost sensitive
- feature set
- bayesian networks
- binary classification
- machine learning
- optimization methods
- multi class
- knn
- high dimensional
- training data
- feature extraction
- k nearest neighbor
- feature subset
- support vector
- semi supervised learning
- feature space
- class imbalance
- data mining