4255 search results - page 241 / 851 » On Learning Boolean Functions |
240
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EWRL
2008
15 years 8 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
165
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ILP
2005
Springer
16 years 1 days ago
2005
Springer
Abstract. We study predicate selection functions (also known as splitting rules) for structural decision trees and propose two improvements to existing schemes. The first is in cl...
161
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ESANN
1998
15 years 8 months ago
1998
We describe a new approach to real time learning of unknown functions based on an interpolating wavelet estimation. We choose a subfamily of a wavelet basis relying on nested hiera...
158
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JMLR
2006
15 years 6 months ago
2006
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
164
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...