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JCP
2007
143views more  JCP 2007»
14 years 9 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 4 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 10 months ago
Linear Tabling Strategies and Optimizations
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
ISPDC
2007
IEEE
15 years 4 months ago
Selection of Optimal Computing Platforms through the Suitability Measure
Selection of spaceborne computing platforms requires balance among several competing factors. Traditional performance analysis techniques are illsuited for this purpose due to the...
Shean T. McMahon, Isaac D. Scherson
ECML
2005
Springer
15 years 3 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont