3694 search results - page 221 / 739 » Stochastic complexity in learning |
171
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
183
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ICML
1996
IEEE
16 years 6 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
175
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IROS
2007
IEEE
16 years 6 days ago
2007
IEEE
— In this paper, we studied how a mobile robot equipped with a 3D laser scanner can start from primitive behaviors and learn to use them to achieve goal-directed behaviors. For t...
137
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ETS
2002
IEEE
15 years 5 months ago
2002
IEEE
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...
172
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...