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Groups > comp.lang.java.programmer > #13186 > unrolled thread
| Started by | Mithil <mithil.mohan@gmail.com> |
|---|---|
| First post | 2012-03-26 09:20 -0700 |
| Last post | 2012-03-26 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
| From | Mithil <mithil.mohan@gmail.com> |
|---|---|
| Date | 2012-03-26 09:20 -0700 |
| Subject | Bayes 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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| From | Lew <lewbloch@gmail.com> |
|---|---|
| Date | 2012-03-26 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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