Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.
Ruwang JiaoBing XueMengjie ZhangPublished in: AI (2022)
Keyphrases
- feature selection
- multi objective
- multiple objectives
- classification accuracy
- feature extraction
- machine learning
- text classification
- evolutionary algorithm
- classification models
- support vector
- multi objective evolutionary algorithms
- conflicting objectives
- feature space
- model selection
- feature selection algorithms
- feature set
- multi objective optimization
- support vector machine
- optimization algorithm
- classification algorithm
- irrelevant features
- classification performances
- unsupervised learning
- decision trees
- small sample
- feature subset selection
- discriminative features
- multi objective optimization problems
- feature selection and classification
- feature vectors
- training set
- decision making
- genetic algorithm
- feature reduction
- accurate classification
- method for feature selection
- bayes classifier
- multiobjective optimization
- high dimensionality
- classification rate
- feature subset
- classification method
- user preferences
- text categorization
- dimensionality reduction
- feature weighting
- selected features
- pareto optimal
- bi objective
- test problems
- knapsack problem
- naive bayes
- support vector machine svm
- knn
- conditional mutual information