Re: [UAI] Bayes Nets tutorial

From: Adam Robert Hunter (ahun022@ec.auckland.ac.nz)
Date: Tue Jun 05 2001 - 12:42:08 PDT

  • Next message: Bob Welch: "Re: [UAI] Bayes Nets tutorial"

    Hi

    I found the best basic stuff I came across when I was first learning about
    Bayes Nets was that of Finn V. Jensen - his book:

    Jensen, F. V., An Introduction To Bayesian Networks: UCL Press, 1996.

    other books I found useful but were more technical :

    Cowell, R. G., Dawid, A. P., Lauritzen, S. L., and Spiegelhalter, D. J.,
    Probabilistic Networks and Expert Systems. New York, NY, USA:
    Springer-Verlag New York, Inc., 1999.
    Lauritzen, S. L., Graphical Models. Oxford, England: Clarendon Press, 1996.

    Don't know about any specific tutorials that may be of use but I did come
    across Heckerman's tutorial myself, and while not totally relevant to what I
    am doing was very good background material

    hope that was of some help
    Adam
    -----------------------------------------------------
    Adam Hunter

    Manufacturing Systems Group
    Dept. of Mechanical Engineering
    The University of Auckland
    Private Bag 92019
    Auckland
    New Zealand

    Ph: 64-9-3737599 Ext. 7006
    Fax: 64-9-3737479
    Mob: 64-21-2889280

    - ----- Original Message -----
    From: "Alexander Dekhtyar" <dekhtyar@cs.uky.edu>
    To: <uai@cs.orst.edu>
    Sent: Tuesday, June 05, 2001 10:34 AM
    Subject: [UAI] Bayes Nets tutorial

    > Dear Colleagues,
    >
    > I am putting together a reading list for a student whose research
    > will deal, in part, with Bayesian Nets.
    >
    > I would like to be able to include a short/medium-size tutorial
    > that would describe the basic concepts of Bayesian Nets. However,
    > at this point, I cannot find any resource that would fit this profile.
    > Current options I am aware of are either Judea Pearl's book or
    > 1-2 page "Background" sections of various papers. The only other
    > alternative is Heckerman's "Learning with Bayes Nets" tutorial, which
    > does not seem to be fitting, because we are not interested in
    > learning Bayes Nets.
    >
    > I am wondering if you'd be able to point me at something in between.
    >
    > Thank you in advance.
    >
    > - --
    > - -------------------------------X----------------------------------
    > Alexander Dekhtyar (859) 257 3062 (phone)
    > Assistant Professor (859) 323 1971 (fax)
    > Department of Computer Science University of Kentucky
    > dekhtyar@cs.uky.edu http://www.cs.uky.edu/~dekhtyar
    > - -------------------------------X----------------------------------
    >
    >
    >
    >

    ------- End of Forwarded Message



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