Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/6054
Title: Evolutionary MCMC revisited: A comparative study
Authors: Milgo, Edna
Odoyo, Oyamo Reuben
Manderick, Bernard
Keywords: Markov Chain Monte Carlo (MCMC)
Population and evolutionary MCMCs
Issue Date: 2014
Abstract: Bayesian reasoning and inference play a prominent role in machine learning (Andrieu et al., 2003). It requires evaluation of integrals of the form EX (f ) =∫ Ω f (x)π(dx) that in most cases cannot been done a- nalytically and are often high dimensional, the func- tion f has multiple modes and probability distribu- tion π has a heavy tail.
URI: https://sites.uclouvain.be/benelearn2014/wp-content/uploads/2014/06/proceedings.pdf#page=97
http://ir.mu.ac.ke:8080/jspui/handle/123456789/6054
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