3837 search results - page 45 / 768 » Learning Approximate Consistencies |
RSCTC
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
113
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AUSAI
2005
Springer
15 years 7 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
105
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NIPS
1998
15 years 3 months ago
1998
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
118
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AAAI
2010
15 years 3 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...