Undirected Conditional Graphical Model Family
(Redirected from Markov Networks)
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An Undirected Conditional Graphical Model Family is a conditional probability graphical family that is an undirected probability model family.
- Context:
- It can specify a set of Undirected Graphical Statistical Model Instances.
- Example(s):
- Counter-Example(s):
- See: Directed Conditional Graphical Metamodel.
References
- http://scholar.google.com/scholar?q="an+Undirected+Conditional+Graphical+model"
- http://scholar.google.com/scholar?q="undirected+conditional+graphical+models"
2012
- (Barber, 2012) ⇒ David Barber. (2012). “Bayesian Reasoning and Machine Learning.” In: Cambridge University Press. ISBN: 0521518148, 9780521518147.
- QUOTE: CRFs can also be viewed simply as Markov networks with exponential form potentials, as in section(9.6.4).