Infer.NET is a framework for Bayesian inference in graphical models and probabilistic programming. It can be used to solve a variety of machine learning problems, from standard classification and clustering to customised solutions for domain-specific problems. Infer.NET has been used in information retrieval, bioinformatics, epidemiology, vision, and other fields.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming as shown in this video. You can use Infer.NET 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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