Support vector machines : optimization based theory, algorithms, and extensions /
"Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have been successfull...
Main Authors: | Deng, Naiyang, Tian, Yingjie, 1973-, Zhang, Chunhua, 1978- |
---|---|
Format: | |
Language: | eng |
Published: |
London : CRC,
2012
|
Subjects: |
Similar Items
-
Optimization: theory and algorithms/
by: 375326 Hiriart-Urruty, Jean-Baptiste, et al.
Published: (1983) -
Lecture on optimization-theory and algorithms /
by: 209560 Cea, Jean
Published: (1978) -
Support Vector Machine algorithms : analysis and applications
by: Wen, Tong, 1970-
Published: (2005) -
Classical optimization : foundations and extensions /
by: 354064 Panik, Michael J.
Published: (1976) -
Extension of linear-quadratic control, optimization and matrix theory/
by: 341696 Jacobson, David H.
Published: (1977)