509 search results - page 51 / 102 » Using Learning for Approximation in Stochastic Processes |
145
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
127
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
113
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
123
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
124
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FSTTCS
2006
Springer
15 years 6 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...