Infer.NET
Infer.NET is a framework for running Bayesian inference in graphical models. You can use it to solve many different kinds of machine learning problems, from standard problems like classification or clustering through to customised solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
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Infer.NET 2.3 beta 4 is now
available for
download [12th November 2009].
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Please use the forum to provide feedback, to ask questions, and to share the ways in which you are using Infer.NET (or send e-mail to infersup@microsoft.com). Please subscribe to the the announcement forum to receive announcements about new releases etc. If you use Infer.NET as part of your research, please cite Infer.NET as detailed in the FAQ.
