A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification.
Asunción Jiménez-CorderoJuan Miguel MoralesSalvador PinedaPublished in: CoRR (2020)
Keyphrases
- min max
- support vector machine classification
- feature selection
- multiobjective optimization
- max min
- text categorization
- privacy preserving
- feature set
- high dimension
- machine learning
- feature space
- multi class
- text classification
- feature subset
- model selection
- embedded systems
- higher order
- classification accuracy
- feature extraction
- feature selection algorithms
- selected features
- knn
- image segmentation
- information retrieval