Probabilistic Graphical Models and Markov Networks

Probabilistic Graphical Models and Markov Networks” by R. Santana and S. Shakya. In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 3-19.

Abstract

This chapter introduces probabilistic graphical models and explain their use for modelling probabilistic relationships between variables in the context of optimisation with EDAs.We focus on Markov networksmodels and review different algorithms used to learn and sample Markov networks. Other probabilistic graphical models are also reviewed and their differences with Markov networks are analysed.

BibTeX entry:

@incollection{Santana_and_Shakya:2012a,
   author = {R. Santana and S. Shakya},
   editor = {S. Shakya and R. Santana},
   title = {Probabilistic Graphical Models and {M}arkov Networks},
   booktitle = {Markov Networks in Evolutionary Computation},
   pages = {3-19},
   publisher = {Springer},
   year = {2012},
   url = {http://dx.doi.org/10.1007/978-3-642-28900-2_1}
}

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