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Groups > comp.lang.java.programmer > #13186 > unrolled thread

Bayes inference of posterior probability Java Package ?

Started byMithil <mithil.mohan@gmail.com>
First post2012-03-26 09:20 -0700
Last post2012-03-26 12:01 -0700
Articles 2 — 2 participants

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  Bayes inference of posterior probability Java Package ? Mithil <mithil.mohan@gmail.com> - 2012-03-26 09:20 -0700
    Re: Bayes inference of posterior probability Java Package ? Lew <lewbloch@gmail.com> - 2012-03-26 12:01 -0700

#13186 — Bayes inference of posterior probability Java Package ?

FromMithil <mithil.mohan@gmail.com>
Date2012-03-26 09:20 -0700
SubjectBayes inference of posterior probability Java Package ?
Message-ID<5cb362df-9312-4584-81c7-774600d20c96@i2g2000vbv.googlegroups.com>
HI all,

Is there a particular package in java where I can train the bayesian
network given a data such as:

            20/10/2012 12:00 - 11 red clothes, 19 green clothes left
in stock
            21/10/2012 12:00 - 10 red clothes, 20 green clothes left
in stock

and find the posterior probability saying that there will be 15 red
clothes left on 22/10/2012 with a probability of 95%

Thank you.

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#13191

FromLew <lewbloch@gmail.com>
Date2012-03-26 12:01 -0700
Message-ID<3344663.133.1332788488993.JavaMail.geo-discussion-forums@pbje9>
In reply to#13186
On Monday, March 26, 2012 9:20:52 AM UTC-7, Mithil wrote:
> HI all,
> 
> Is there a particular package in java [sic] where I can train the bayesian [sic]
> network given a data such as:
> 
>             20/10/2012 12:00 - 11 red clothes, 19 green clothes left
> in stock
>             21/10/2012 12:00 - 10 red clothes, 20 green clothes left
> in stock
> 
> and find the posterior probability saying that there will be 15 red
> clothes left on 22/10/2012 with a probability of 95%

Not sure that that can exceed 0% without some evidence of red-shirt restocking. In any event, some of that math can be found in various libraries, some open-source, such as 
<http://wiki.syncleus.com/index.php/dANN>

I recommend you start with a Web search. For example, have you tried
<http://lmgtfy.com/?q=java+bayesian+network+library>
?

-- 
Lew

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