3718 search results - page 281 / 744 » On learning with dissimilarity functions |
188
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ICMLA
2009
15 years 4 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
197
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AI
2011
Springer
14 years 10 months ago
2011
Springer
In this paper, we learn the components of dialogue POMDP models from data. In particular, we learn the states, observations, as well as transition and observation functions based o...
181
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
201
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
149
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In Reinforcement Learning (RL) there has been some experimental evidence that the residual gradient algorithm converges slower than the TD(0) algorithm. In this paper, we use the ...