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125
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
124
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ICIP
2009
IEEE
15 years 10 days ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
87
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MLDM
2009
Springer
15 years 9 months ago
2009
Springer
118
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
132
Voted
RECOMB
2005
Springer
16 years 2 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...