10054 search results - page 64 / 2011 » On the Complexity of Function Learning |
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
116
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NIPS
2008
15 years 1 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
85
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
100
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
93
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COLT
1999
Springer
15 years 4 months ago
1999
Springer
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...