1863 search results - page 132 / 373 » Multiagent learning using a variable learning rate |
150
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UAI
1998
15 years 7 months ago
1998
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
194
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SODA
2000
ACM
15 years 7 months ago
2000
ACM
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
233
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CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
169
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TNN
1998
15 years 6 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
219
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MLMTA
2003
15 years 7 months ago
2003
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...