Entries:
Comments:
Posts:

Loading User Information from Channel 9

Something went wrong getting user information from Channel 9

Latest Achievement:

Loading User Information from MSDN

Something went wrong getting user information from MSDN

Visual Studio Achievements

Latest Achievement:

Loading Visual Studio Achievements

Something went wrong getting the Visual Studio Achievements

Reverend Bayes, meet Countess Lovelace: Probabilistic Programming for Machine Learning

Download

Right click “Save as…”

Slides

We propose a marriage of probabilistic functional programming with Bayesian reasoning.  Infer.NET Fun turns the simple succinct syntax of F# into an executable modeling language – you can code up the conditional probability distributions of Bayes' rule using F# array comprehensions with constraints. Write your model in F#. Run it directly to synthesize test datasets and to debug models. Or compile it with Infer.NET for efficient statistical inference.  Hence, efficient algorithms for a range of regression, classification, and specialist learning tasks derive by probabilistic functional programming.

Follow the Discussion

  • Hi, you can download the zipfile with the machine learning software I'll talk about, here:

    http://research.microsoft.com/en-us/projects/fun/

    Cheers, Andy

  • Francois RouaixFrancois Rouaix

    No doubt that Infer.NET and Infer.NET Fun are great tools, but they are currently distributed under a very restrictive license. Andy mentions Kaggle competitions, but many of them do require that all software used are unencumbered (either OSS or commercially available software). Even the fact that competitions have rewards may be a violation of the Infer.NET license.

  • Rick MinerichRick Minerich

    Please, please, please release this with a commercially usable license! It would make .NET a viable platform for machine learning.

  • Jack FoxJack Fox

    +1 for a commercial Infer.NET license.

Remove this comment

Remove this thread

close

Comments Closed

Comments have been closed since this content was published more than 30 days ago, but if you'd like to continue the conversation, please create a new thread in our Forums,
or Contact Us and let us know.