509 search results - page 70 / 102 » Using Learning for Approximation in Stochastic Processes |
110
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P2P
2006
IEEE
15 years 8 months ago
2006
IEEE
The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query r...
136
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LION
2007
Springer
15 years 8 months ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
146
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ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
125
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
100
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AMAI
1999
Springer
15 years 2 months ago
1999
Springer
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...