2177 search results - page 261 / 436 » Relative Margin Machines |
146
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ICML
2009
IEEE
16 years 4 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...
130
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
105
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
143
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
132
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...