2712 search results - page 243 / 543 » On learning algorithm selection for classification |
182
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DA
2010
15 years 3 months ago
2010
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
177
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BMCBI
2006
15 years 6 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
185
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
206
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
186
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NPL
2006
15 years 6 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...