BOOK-CHAPTER

Feature Selection Using Sparse Twin Bounded Support Vector Machine

Xiaohan ZhengLi ZhangLeilei Yan

Year: 2020 Lecture notes in computer science Pages: 357-369   Publisher: Springer Science+Business Media
Keywords:
Support vector machine Computer science Bounded function Feature selection Hinge loss Feature vector Norm (philosophy) Artificial intelligence Pattern recognition (psychology) Dual (grammatical number) Algorithm Machine learning Mathematics

Metrics

1
Cited By
0.12
FWCI (Field Weighted Citation Impact)
23
Refs
0.54
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
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

Related Documents

BOOK-CHAPTER

Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine

Li ZhangXiaohan ZhengZhiqiang Xu

Communications in computer and information science Year: 2020 Pages: 107-118
JOURNAL ARTICLE

Sparse Pinball Twin Bounded Support Vector Clustering

M. TanveerMohammad TabishJatin Jangir

Journal:   IEEE Transactions on Computational Social Systems Year: 2021 Vol: 9 (6)Pages: 1820-1829
BOOK-CHAPTER

Feature Selection Using Support Vector Machine

WORLD SCIENTIFIC eBooks Year: 2004 Pages: 60-73
© 2026 ScienceGate Book Chapters — All rights reserved.