3256 search results - page 556 / 652 » Learning Linear Transformations |
132
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ESANN
2004
15 years 3 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
164
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ESANN
2006
15 years 3 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
137
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ISMB
1994
15 years 3 months ago
1994
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
120
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JMLR
2008
15 years 2 months ago
2008
Conventional SVM-based image coding methods are founded on independently restricting the distortion in every image coefficient at some particular image representation. Geometrical...
122
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JUCS
2008
15 years 2 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...