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.
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© 2007 Springer Science+Business Media, LLC
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(2007). Inference and Learning for General Graphical Models. In: Machine Learning for Multimedia Content Analysis., vol 30. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-69942-4_8
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DOI: https://doi.org/10.1007/978-0-387-69942-4_8
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