246 search results - page 36 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
CORR
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
100
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EUROCAST
2007
Springer
15 years 5 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
112
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PASTE
2010
ACM
15 years 4 months ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...