A Markov random field, Markov network or undirected graphical model is a graphical model in which a set of random variables have a Markov property described by an undirected graph.
Markov random field A set of random variables whose independence relationships are represented by a neighborhood structure, i.e. an undirected graph.
A new chapter on stochastic approaches to machine learning, including first-prder Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation.
attractor chaotic delay coordinate diffeomorphism dynamical system embedding sampling rate Minimum Description Length information theory maximum entropy Gibbs Sampling Gibbs distribution Kullback-Leibler divergence Markov random fields ...
 See also: Inference, Hidden Markov model, Distribution, Likelihood, Knowledge
  
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