COM SCI 262A

Learning and Reasoning with Bayesian Networks

Description: Lecture, four hours; outside study, eight hours. Requisite: course 112 or Electrical Engineering 131A. Review of several formalisms for representing and managing uncertainty in reasoning systems; presentation of comprehensive description of Bayesian inference using belief networks representation. Letter grading.

Units: 4.0
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Adnan Darwiche

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Umut Oztok

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Guy van Den Broeck

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