Relation between a support vector machine and the least square method

Qinghua Daxue Xuebao/Journal of Tsinghua University

Volumn 41, Issue 9, 2001, Pages 77-80

  Yan, Hui ^a   Zhang, Xuegong ^a   Li, Yanda ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Global optimal separating hyperplane; Least square estimation; Minimal norm solution; Support vector machine

Indexed keywords

LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; NUMERICAL METHODS; OPTIMIZATION; SEPARATION;

LEAST SQUARE ESTIMATION; SUPPORT VECTOR MACHINE;

STATISTICAL METHODS;

EID: 0035466634     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Learning from Data: Concepts, Theory and Methods
2. A tutorial on support vector regression
3. On a kernel-based method for pattern recognition, regression, approximation and operator Inversion
4. Connection between regularization operators and support vector kernels