1006 search results - page 66 / 202 » A Case Study for Learning from Imbalanced Data Sets |
210
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JMLR
2012
13 years 8 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
181
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KR
2010
Springer
15 years 11 months ago
2010
Springer
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...
157
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
189
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AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
160
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WEBDB
2009
Springer
16 years 21 days 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...