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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 2 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
127
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JUCS
2010
127views more  JUCS 2010»
15 years 2 months ago
A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information
: In group decision making situations, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved and, as a result, they may present incomple...
Francisco Javier Cabrerizo, Ruben Heradio, Ignacio...
121
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ICMLA
2009
15 years 1 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
COR
2007
134views more  COR 2007»
15 years 3 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
124
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SIGPRO
2011
229views Hardware» more  SIGPRO 2011»
14 years 10 months ago
Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding
A fast and exact procedure for the numerical synthesis of stationary multivariate Gaussian time series with a priori prescribed and well controlled autoand cross-covariance functi...
Hannes Helgason, Vladas Pipiras, Patrice Abry