3837 search results - page 208 / 768 » Learning Approximate Consistencies |
202
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ICCBR
2003
Springer
16 years 9 days ago
2003
Springer
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
198
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IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
194
Voted
FSTTCS
2006
Springer
15 years 10 months ago
2006
Springer
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
191
Voted
GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
190
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WSC
2008
15 years 9 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...