Efficient twin parametric insensitive support vector regression model

Neurocomputing

Volumn 79, Issue , 2012, Pages 26-38

  Peng, Xinjun ^a  

^a SHANGHAI NORMAL UNIVERSITY   (China)

Author keywords

Noise heteroscedastic model; Nonparallel functions; Parametric insensitive model; Regression estimation; Support vector machine

Indexed keywords

BENCHMARK DATASETS; FAST LEARNING; GENERALIZATION PERFORMANCE; HETEROSCEDASTIC; INPUT VALUES; LEARNING SPEED; REGRESSION ESTIMATION; REGRESSION FUNCTION; SUPPORT VECTOR; SUPPORT VECTOR REGRESSION MODELS; SUPPORT VECTOR REGRESSIONS;

BENCHMARKING; GLOBAL OPTIMIZATION; REGRESSION ANALYSIS; VECTORS;

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTICLE; CONTROLLED STUDY; INFORMATION PROCESSING; MACHINE LEARNING; NOISE; PRIORITY JOURNAL; QUALITY CONTROL; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; TWIN PARAMETRIC INSENSITIVE SUPPORT VECTOR REGRESSION; TWIN SUPPORT VECTOR REGRESSION;

EID: 83955162266     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.09.021     Document Type: Article

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