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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification.
Asunción Jiménez-Cordero
Juan Miguel Morales
Salvador Pineda
Published in:
Eur. J. Oper. Res. (2021)
Keyphrases
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min max
support vector machine classification
feature selection
multiobjective optimization
max min
mutual information
text categorization
privacy preserving
support vector
high dimension
feature set
text classification
model selection
feature selection algorithms
multi task
machine learning
neural network
embedded systems
selected features
classification accuracy
irrelevant features
similarity measure
feature subset
dimensionality reduction
denoising
knn
evolutionary algorithm