swMATH ID: 7886
Software Authors: Microsoft Research; Minka, T.; Winn, J.; Guiver, G.; Kannan, A.
Description: Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference. It has applications in a wide variety of domains, including information retrieval, bioinformatics, epidemiology, vision, and many others.
Homepage: http://www.nuget.org/packages/Infer.Net
Keywords: Bayesian inference; expectation propagation; mean field approximation; variational Bayes
Related Software: R; Stan; BUGS; PRMLT; WinBUGS; SemiPar; KernSmooth; BRugs; Blaise; Church; NUTS; bnsoft; JAGS; HBC; Haskell; FACTORIE; IBAL; Python; z3; RStan
Cited in: 22 Publications

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