Structural regularized projection twin support vector machine for data classification

Xinjun Peng; Dong Xu

doi:10.1016/j.ins.2014.03.129

ScienceGate Book Chapters

JOURNAL ARTICLE

Structural regularized projection twin support vector machine for data classification

Xinjun Peng Dong Xu

Year: 2014 Journal: Information Sciences Vol: 279 Pages: 416-432 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2014.03.129

Get Full-Text PDF Get Analytical Report

Keywords:

Support vector machine Quadratic programming Classifier (UML) Subspace topology Computer science Artificial intelligence Structural risk minimization Projection (relational algebra) Binary classification Pattern recognition (psychology) Kernel method Quadratic classifier Nonlinear system Structured support vector machine Machine learning Mathematics Algorithm Mathematical optimization

Metrics

Cited By

1.69

FWCI (Field Weighted Citation Impact)

Refs

0.88

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Structural regularized projection twin support vector machine for data classification

Metrics

Citation History

Topics

Related Documents

Structural twin support vector machine for classification

ν-projection twin support vector machine for pattern classification

An Updated Projection Twin Support Vector Machine for Classification

Geometric projection twin support vector machine for pattern classification

A twin projection support vector machine for data regression