Kernel Optimization-Based Multiclass Support Vector Machine Feature Selection

Tinghua Wang; Fulai Liu; Mang Xiao; Junting Chen

doi:10.1166/jctn.2013.2764

ScienceGate Book Chapters

JOURNAL ARTICLE

Kernel Optimization-Based Multiclass Support Vector Machine Feature Selection

Tinghua Wang Fulai Liu Mang Xiao Junting Chen

Year: 2013 Journal: Journal of Computational and Theoretical Nanoscience Vol: 10 (3)Pages: 742-749 Publisher: American Scientific Publishers

DOI: 10.1166/jctn.2013.2764

Get Full-Text PDF Get Analytical Report

Keywords:

Support vector machine Computer science Feature selection Artificial intelligence Pattern recognition (psychology) Kernel (algebra) Selection (genetic algorithm) Multiclass classification Kernel method Machine learning Relevance vector machine Radial basis function kernel Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.22

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Kernel Optimization-Based Multiclass Support Vector Machine Feature Selection

Metrics

Topics

Related Documents

Group feature selection with multiclass support vector machine

Multiclass classification on brain cancer with multiple support vector machine and feature selection based on kernel function

Multiclass Feature Selection Via Kernel Parameter Optimization

Relief Feature Selection and Parameter Optimization for Support Vector Machine based on Mixed Kernel Function

Feature selection for multiclass support vector machines