A self-adaptive multi-objective feature selection approach for classification problems.
Yu XueHaokai ZhuFerrante NeriPublished in: Integr. Comput. Aided Eng. (2022)
Keyphrases
- multi objective
- feature selection
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- text categorization
- multiobjective optimization
- multiple objectives
- mutual information
- objective function
- particle swarm optimization
- pareto optimal
- feature selection algorithms
- nsga ii
- feature set
- conflicting objectives
- feature space
- support vector
- genetic algorithm
- multi objective evolutionary
- feature subset selection
- classification accuracy
- feature extraction
- feature subset
- information gain
- multi objective optimization problems
- data sets
- neural network
- evolutionary optimization
- feature ranking
- discriminative features
- machine learning
- support vector machine
- text classification
- control parameters
- irrelevant features
- data mining
- method for feature selection
- selecting features
- multi class
- model selection
- multi objective evolutionary algorithms
- bi objective
- unsupervised learning
- multi objective problems
- multiobjective evolutionary algorithm
- gene expression data
- microarray data