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SUMMARY:Infer.NET and probabilistic programming - John Winn (Microsoft Res
 earch)
DTSTART:20100630T154500Z
DTEND:20100630T164500Z
UID:TALK25226@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: Would you like to write software that can adapt to
  new situations\, learn from examples or work with uncertain information? 
 Infer.NET is a machine learning framework that lets you build such capabil
 ities easily using a new way of programming called probabilistic programmi
 ng. Probabilistic programs can work with uncertain or unknown variables an
 d even uncertain execution. By using such programs\, you can combine detai
 led domain knowledge with the latest machine learning algorithms to genera
 te tailored code to solve your problem. I’ll explain what probabilistic 
 programming is and give some example of using it for search and for online
  gaming.\n\n*Biography*: John Winn is a researcher in the machine learning
  group at MSR Cambridge. He did his doctorate on inference frameworks and 
 has also been working on Infer.NET since its inception. At MSR\, he has wo
 rked on applications ranging from recognising Bill Gates’ glasses in a l
 ive video to understanding the genetic causes of asthma. His goal is to ma
 ke powerful machine learning techniques accessible to everyone.
LOCATION:Large public lecture room\, Microsoft Research\, Roger Needham Bu
 ilding\, 7 J J Thomson Avenue\, Cambridge CB3 0FB
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