Referenced Items are not available for this document.
Support vector machines (SVM) overcome the limit of the maximum-likelihood. method that only applies to very limited set of the density functions. They can estimate simultaneously the regression classes in the mixture data set. The validity of the SVM was demonstrated in experiments. The results indicate that the SVM can estimate the regression classes in the mixture data set with noise.
Published in:
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
(Volume:1
)
Date of Conference: 28-31 Oct. 2002
- Page(s):
- 89 - 92 vol.1
- Print ISBN:
- 0-7803-7490-8
- INSPEC Accession Number:
- 7868883
- Digital Object Identifier :
- 10.1109/TENCON.2002.1181221
- Product Type:
- Conference Publications
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