An empirical assessment on the robustness of support vector regression with different kernels

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 4289-4294

  Liu, Jing Xu ^a   Li, Jin ^a   Tan, Yue Jin ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Composition of kernels; Kernel function; Robustness; Support vector regression

Indexed keywords

CYBERNETICS; POLYNOMIALS; REGRESSION ANALYSIS; VECTORS;

RADIUS BASIS FUNCTION (RBF); SUPPORT VECTOR MACHINE (SVM);

LEARNING SYSTEMS;

EID: 28444494043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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