5802 search results - page 590 / 1161 » Parallelizing Feature Selection |
197
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
195
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CSB
2005
IEEE
15 years 9 months ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
183
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LREC
2010
15 years 8 months ago
2010
This work reports the evaluation and selection of annotation tools to assign wh-question labels to verbal arguments in a sentence. Wh-question assignment discussed herein is a kin...
270
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ATAL
2010
Springer
15 years 8 months ago
2010
Springer
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
217
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ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...