From the website:
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.
I should not have been surprised but use of a “.net” language is required to use Infer.Net.
I would appreciate comments from anyone who uses Infer.Net for inferencing to assist in the authoring of topic maps.
Hi Patrick,
Just a quick note to illustrate that “use of a ‘.net'” language isn’t really that big of a limitation these days. Between the official Microsoft environment and Mono, you can have your CLR just about wherever you want it, and you can generally mix and match the languages of your choice from this list: http://en.wikipedia.org/wiki/List_of_CLI_languages
Specifically, IronPython and IronRuby are are getting a lot of effort and support these days.
Combine this with a boatload of distributed computing models supported by these languages, you’ve really not got that big of a problem if you feel the need to use the tool.
Happy Saturday! 🙂
Comment by Andrew S. Townley — November 27, 2010 @ 9:50 am
Thanks for the pointers!
I try to test Infer.net as you suggest and report back.
Comment by Patrick Durusau — November 29, 2010 @ 6:41 am