1648 search results - page 43 / 330 » Training Data Selection for Support Vector Machines |
82
Voted
ML
2002
ACM
15 years 4 days ago
2002
ACM
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
100
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NIPS
2000
15 years 1 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
121
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EVOW
2006
Springer
15 years 4 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
NIPS
1998
15 years 1 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...
129
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...