1752 search results - page 61 / 351 » Support vector machine for functional data classification |
PAKDD
2005
ACM
15 years 5 months ago
2005
ACM
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
116
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ICANN
2001
Springer
15 years 4 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
119
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ICMLA
2010
14 years 9 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
108
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ML
2002
ACM
14 years 11 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...