990 search results - page 44 / 198 » Evolving kernels for support vector machine classification |
136
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NAACL
2001
15 years 6 months ago
2001
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
123
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COLT
2005
Springer
15 years 10 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
141
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ESANN
2007
15 years 6 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
151
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AUSDM
2006
Springer
15 years 8 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
127
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DAGM
2004
Springer
15 years 8 months ago
2004
Springer
The well-known and very simple MinOver algorithm is reformulated for incremental support vector classification with and without kernels. A modified proof for its O(t-1/2 ) converge...