Paper Title:
Key Problem in Support Vector Machine Model
  Abstract

This study found the development direction of SVM, the research content is the most crucial and fundamental nature in SVM, if achieve this paper targets, it will promote the further application of SVM, and have important theoretical value; In addition, this study are The basic work of nuclear analytical methods, the results can be directly applied to the field of recognition pattern based on nuclear analytical methods (such as Kernel Principal Component Analysis and Kernel Fisher method), so the research results of this paper has good generalized values.

  Info
Periodical
Edited by
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages
1351-1354
DOI
10.4028/www.scientific.net/AMM.34-35.1351
Citation
X. L. Qu, M. A. Dai, Z. H. Li, "Key Problem in Support Vector Machine Model", Applied Mechanics and Materials, Vols. 34-35, pp. 1351-1354, 2010
Online since
October 2010
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Price
$32.00
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