AI News, Probabilistic Graphical Models 1: Representation

Probabilistic Graphical Models 1: Representation

About this course: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more.

  • On Thursday, May 23, 2019

Value of Perfect Information - Stanford University

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over ...

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Industry mentor overview | MIT 6.172 Performance Engineering of Software Systems, Fall 2010

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Mapping the Wilderness of Knowledge: The Card Catalog, Past, Present and Future

Panelists discussed the challenges of managing the "firehose of information" that is modern library collections, from using printed catalog cards to the ...