794 search results - page 24 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
ICIC
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
107
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
68
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IWANN
1999
Springer
15 years 1 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
71
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NIPS
2007
14 years 11 months ago
2007
Many tasks in speech processing involve classification of long term characteristics of a speech segment such as language, speaker, dialect, or topic. A natural technique for dete...
97
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BMCBI
2006
14 years 9 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...