978 search results - page 8 / 196 » Infinite Ensemble Learning with Support Vector Machines |
119
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ICML
2005
IEEE
16 years 16 days 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...
111
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APBC
2003
15 years 1 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
119
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JMLR
2002
14 years 11 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
100
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ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...