Inference and Learning for General Graphical Models

In previous chapters, we described several probabilistic models that capture certain structures of the given data. In this chapter, we will see that these models are all under a general umbrella called probabilistic graphical models.


Graphical Model Factor Node Factor Graph Restrict Boltzmann Machine Probabilistic Graphical Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media, LLC 2007

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