3411 search results - page 25 / 683 » Adaptive Transfer Learning |
140
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
110
Voted
ESANN
2001
15 years 3 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
ITICSE
2006
ACM
15 years 8 months ago
2006
ACM
Crafting a good user experience requires skills in several disciplines. Few people have this breadth of knowledge, and undergraduate computer science students are no exception. En...
138
Voted
GECCO
2003
Springer
15 years 7 months ago
2003
Springer
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
127
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CIKM
2009
Springer
15 years 9 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...