101 search results - page 11 / 21 » Multi-task reinforcement learning: a hierarchical Bayesian a... |
196
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SIGIR
2004
ACM
15 years 11 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
159
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JMLR
2006
15 years 6 months ago
2006
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
213
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
144
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IROS
2006
IEEE
16 years 1 days ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
165
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...