Is there a java alternative to the Bayesian Belief Network Framework "Infer.NET"?
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Is the are java alternative to Bayesian Belief Network framework - Infer.NET? Preferable if it be scalable(online learning for large datasets), well-supported(last updated since 2010) and open source and easy to write network structure. So all features from Infer.NET.

Sheedy answered 14/10, 2010 at 14:23 Comment(0)
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Listing here two Bayesian Network Classifiers projects that I am aware of:

  • CI Bayes - active, last release is 2.0, released on 6th of Oct 2010 and available from their Maven2 repository
  • jBNC - inactive for several years, listing it here just for completeness sake.

I'm not sure how they compare to Infer.NET, so you better make your own tests.

Vacant answered 14/10, 2010 at 15:25 Comment(1)
Actually they're both just naive bayes!Sower
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You should perhaps also consider Samiam, it is very powerful and well maintained. I'm not familiar with Infer.NET so I don't know how it compares.

Enphytotic answered 15/10, 2010 at 3:55 Comment(0)
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Listing here two Bayesian Network Classifiers projects that I am aware of:

  • CI Bayes - active, last release is 2.0, released on 6th of Oct 2010 and available from their Maven2 repository
  • jBNC - inactive for several years, listing it here just for completeness sake.

I'm not sure how they compare to Infer.NET, so you better make your own tests.

Vacant answered 14/10, 2010 at 15:25 Comment(1)
Actually they're both just naive bayes!Sower
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Why not take the right tool for the job? For statistics and machine learning that's the programming language R. http://cran.r-project.org/web/views/MachineLearning.html

Incestuous answered 25/10, 2010 at 19:16 Comment(1)
Only one Bayesian method is implemented in the link that you gave: Bayesian Additive Regression Trees (BART) - so not a competitor.Sower
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Unfortunately, I have not found anything that's as full-featured and well-supported as infer.NET. Please update if you do!

I use an old package from CMU called JavaBayes -- it works, but no continuous variables.

Notecase answered 4/11, 2010 at 18:51 Comment(0)

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