DocumentCode
527332
Title
Convergence rate of structural risk minimization principle on quasi-probability space
Author
Bai, Yun-Chao ; Wang, Peng
Author_Institution
Coll. of Econ. Sci., Hebei Univ., Baoding, China
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
1767
Lastpage
1770
Abstract
In this paper, the concepts of annealed entropy, growth function and VC dimension are proposed on quasi-probability space; the rate of uniform convergence of structural risk minimization principle based on VC dimension on quasi-probability space are given and proven. These lay the theoretical basis to systematically establish statistical learning theory and construe support vector machine on quasi-probability.
Keywords
convergence; learning systems; probability; support vector machines; VC dimension; annealed entropy; convergence rate; growth function; quasi-probability space; statistical learning theory; structural risk minimization; support vector machine; Convergence; Cybernetics; Entropy; Presses; Risk management; Statistical learning; Convergence rate; Quasi-probability; Structural risk minimization principle;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580969
Filename
5580969
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