1-Norm least squares twin support vector machines

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3590-3597

  Gao, Shangbing ^a   Ye, Qiaolin ^b   Ye, Ning ^b  

^a HUAIYIN INSTITUTE OF TECHNOLOGY   (China)

^b NANJING FORESTRY UNIVERSITY   (China)

Author keywords

Exterior penalty (EP); Feature selection; GEPSVM; Input features; LSTSVM; Sparse solutions; TWSVM

Indexed keywords

EXTERIOR PENALTY (EP); GEPSVM; INPUT FEATURES; LSTSVM; SPARSE SOLUTIONS; TWSVM;

EIGENVALUES AND EIGENFUNCTIONS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; INTERMETHOD COMPARISON; KERNEL METHOD; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; SYSTEM ANALYSIS; VALIDATION PROCESS;

EID: 80052923482     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.06.015     Document Type: Article

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