817 search results - page 36 / 164 » Learning Techniques for Automatic Algorithm Portfolio Select... |
131
Voted
NIPS
1994
15 years 3 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
115
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
126
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JMLR
2006
15 years 2 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
104
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NIPS
1998
15 years 3 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
152
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ACML
2009
Springer
15 years 7 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...