2681 search results - page 40 / 537 » Learning to learn with the informative vector machine |
114
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ML
2002
ACM
15 years 4 months ago
2002
ACM
Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated...
106
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BMCBI
2008
15 years 4 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
138
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems. DB2 offers an alternative to the standard one-again...
128
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ICAISC
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
126
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NIPS
1998
15 years 5 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...