1164 search results - page 95 / 233 » A Model Selection Approach for Local Learning |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
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KDD
2012
ACM
13 years 10 days ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
ITC
2003
IEEE
15 years 3 months ago
2003
IEEE
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
GEOINFORMATICA
1998
14 years 9 months ago
1998
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...