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» Markov Models for Biogeography-Based Optimization
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TSMC
2011
250views more  TSMC 2011»
12 years 11 months ago
Markov Models for Biogeography-Based Optimization
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...
Dan Simon, Mehmet Ergezer, Dawei Du, Richard Allen...
ECML
2005
Springer
13 years 10 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
PE
2010
Springer
180views Optimization» more  PE 2010»
13 years 3 months ago
PCTL model checking of Markov chains: Truth and falsity as winning strategies in games
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...
CVPR
2009
IEEE
14 years 3 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
13 years 11 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