1863 search results - page 232 / 373 » Multiagent learning using a variable learning rate |
139
Voted
ATAL
2005
Springer
15 years 10 months ago
2005
Springer
In contrast to classical game theoretic analysis of simultaneous and sequential play in bimatrix games, Steven Brams has proposed an alternative framework called the Theory of Mov...
136
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IUI
1997
ACM
15 years 9 months ago
1997
ACM
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
137
Voted
NIPS
1990
15 years 6 months ago
1990
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
168
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PPSN
2004
Springer
15 years 10 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
156
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IJON
2011
15 years 1 days ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...