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SUMMARY:Infer.NET - John F. Bronskill
DTSTART:20171019T123000Z
DTEND:20171019T140000Z
UID:TALK94207@talks.cam.ac.uk
CONTACT:Alessandro Davide Ialongo
DESCRIPTION:*Abstract:*\n\nInfer.NET is a framework for running Bayesian i
 nference in graphical models. This talk will serve as an introduction to a
 nd tutorial on using the framework. Advantages and limitations of Infer.NE
 T will be discussed. Examples of real-world\, high scale models such as sk
 ill ranking and recommendation will be demonstrated.\n\n*Reading:*\n\nNo a
 dvance reading is required\, but if you want to get a head start you can t
 ake a look at:\n\nInfer.NET Website: http://infernet.azurewebsites.net/\n\
 nModel-Based Machine Learning Book: http://www.mbmlbook.com/
LOCATION:Engineering Department\, CBL Seminar Room 4-38
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