3694 search results - page 340 / 739 » Stochastic complexity in learning |
153
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
182
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ISMAR
2005
IEEE
16 years 7 days ago
2005
IEEE
Modern society requires the public to have an increased knowledge of science beyond the basics, with average people needing to understand concepts in science, technology, engineer...
168
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SEMWEB
2005
Springer
16 years 4 days ago
2005
Springer
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...
187
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ECML
1997
Springer
15 years 10 months ago
1997
Springer
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
191
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NIPS
2007
15 years 8 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...