DocumentCode :
2233988
Title :
SVM method of estimating density, conditional probability, and conditional density
Author :
Vapnik, V.
Author_Institution :
AT & T Labs. Res., USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
749
Abstract :
The problem of estimating density, conditional probability, and conditional density is considered as an ill-posed problem of solving integral equations. To solve these equations the support vector method (SVM) is used
Keywords :
estimation theory; integral equations; learning (artificial intelligence); probability; SVM method; conditional density; conditional probability; density estimation; integral equations; support vector method; Distribution functions; Integral equations; Probability distribution; Stochastic processes; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
Type :
conf
DOI :
10.1109/ISCAS.2000.856437
Filename :
856437
Link To Document :
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