964 search results - page 94 / 193 » Incremental and Decremental Support Vector Machine Learning |
122
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EUROCOLT
1999
Springer
15 years 5 months ago
1999
Springer
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
103
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SIGIR
2008
ACM
15 years 1 months ago
2008
ACM
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
105
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ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
147
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
131
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JMLR
2006
15 years 1 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...