2712 search results - page 240 / 543 » On learning algorithm selection for classification |
165
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IEAAIE
2003
Springer
15 years 11 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
168
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AI
1998
Springer
15 years 11 months ago
1998
Springer
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
174
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WEBDB
2009
Springer
16 years 1 months ago
2009
Springer
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
197
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NIPS
2001
15 years 8 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
177
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NIPS
1994
15 years 8 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...