Undirected Conditional Graphical Model Family

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):
  • Conditional Random Fields.
  • …
• Counter-Example(s):
  • a Undirected Generative Graphical Model Family.
  • a Directed Conditional Graphical Metamodel, such as Hidden Markov Models Metamodel.
• See: Directed Conditional Graphical Metamodel

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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).

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