DCA for Gaussian Kernel Support Vector Machines with Feature Selection

Hoai An Le Thi; Vinh Thanh Ho

doi:10.1007/978-3-030-92666-3_19

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DCA for Gaussian Kernel Support Vector Machines with Feature Selection

Hoai An Le Thi Vinh Thanh Ho

Year: 2021 Lecture notes in networks and systems Pages: 223-234 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-92666-3_19

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Keywords:

Support vector machine Feature selection Benchmark (surveying) Mathematical optimization Binary classification Kernel (algebra) Binary number Gaussian function Gaussian Computer science Kernel method Feature vector Minification Radial basis function kernel Feature (linguistics) Algorithm Selection (genetic algorithm) Optimization problem Regular polygon Mathematics Artificial intelligence

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

DCA for Gaussian Kernel Support Vector Machines with Feature Selection

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