2712 search results - page 215 / 543 » On learning algorithm selection for classification |
164
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PRL
1998
15 years 6 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
168
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TKDE
2008
15 years 6 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
159
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MCS
2002
Springer
15 years 6 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
203
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
171
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...