Solving large-scale multiclass learning problems via an efficient support vector classifier

Journal of Systems Engineering and Electronics

Volumn 17, Issue 4, 2006, Pages 910-915

  Zheng, Shuibo ^a   Tang, Houjun ^a   Han, Zhengzhi ^a   Zhang, Haoran ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Decomposition method; Multiclass classification; Sequential minimal optimization (SMO); Support vector machines (SVMs); SVM light

Indexed keywords

DECOMPOSITION METHOD; ENGINEERING COMMUNITY; LARGE SCALE MULTICLASS LEARNING PROBLEMS; MULTICLASS CLASSIFICATION; ONGOING RESEARCH TOPIC; SEQUENTIAL MINIMAL OPTIMIZATION (SMO); SUPPORT VECTOR CLASSIFIER; SUPPORT VECTOR MACHINES (SVMS); SVM LIGHT;

CLASSIFICATION (OF INFORMATION); IDENTIFICATION (CONTROL SYSTEMS); LARGE SCALE SYSTEMS; NEURAL NETWORKS; OPTIMIZATION;

LEARNING ALGORITHMS;

EID: 33847308138     PISSN: 16711793     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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