!
Cheers,
Marek
--
Marek J. Druzdzel, Ph.D. http://www.bayesfusion.com/
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Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
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Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
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which means
that you can freely mix discrete and continuous variables in the same
model. We will be supporting dynamic influence diagrams and their
relatives soon.
I hope this helps.
Marek
--
Marek J. Dru
eers,
Marek
----------
Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
On 8/8/2016 11:21 AM, Richard E Neapolitan wrote:
I am looking for a simple available software package that builds (not
learns) a BN stuct
algorithms). Free for academic teaching and research.
Cheers,
Marek
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Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
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https
Here is the link to the PDF of the paper:
http://www.pitt.edu/~druzdzel/psfiles/jmlr03.pdf
The news is generally bad -- you have to act very carefully when using
data from different sources.
Cheers,
Marek
--------
Cheers,
Marek
------
Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
iSchool at Pitt Seeks Three Tenure-Stream Faculty, Fall 2012
11/10/2011
The School of Information Sciences (http://www.ischool.pitt.edu) at the
co-authored by Agnieszka Onisko and myself,
Agnieszka Onisko, Marek J. Druzdzel and Hanna Wasyluk. Learning Bayesian
network parameters from small data sets: Application of Noisy-OR gates.
International Journal of Approximate Reasoning, 27(2):165-182, 2001.
shows a simple way of doing what you want
load GeNIe from http://genie.sis.pitt.edu/.
Cheers,
Marek
----------
Marek J. Druzdzelhttp://www.pitt.edu/~druzdzel
Lehner, Paul E. wrote:
I was working on a set of instructions to teach simple
two-hypothesis/one-evidence B
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