2193 search results - page 105 / 439 » Properties of Support Vector Machines |
177
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
155
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
161
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CANDC
2006
ACM
15 years 6 months ago
2006
ACM
O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here, we present ...
178
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
200
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TNN
2010
15 years 1 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...