1863 search results - page 183 / 373 » A supervised learning approach for imbalanced data sets |
134
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SDM
2008
SIAM
15 years 6 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
146
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CIKM
2009
Springer
15 years 11 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
170
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AROBOTS
2002
15 years 4 months ago
2002
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
154
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ECML
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
158
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). Most of the prior works rely on sup...