Developing a general-purpose message-passing library
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If you have a question about this talk, please contact David MacKay.
Registration is required for this one-day meeting
Infer.NET is a project underway at Microsoft Research to create a general-purpose software library for inference in graphical models. The project is heavily inspired by BUGS and VIBES . However, the main focus of this library is efficient execution of deterministic message-passing algorithms on large-scale models.
I will describe some of the research challenges we face and how we are addressing them.
This talk is part of the Machine Learning and Inference (One day meeting) series.
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