Re: [UAI] K2 learning

From: Allan Tucker (Allan.Tucker@brunel.ac.uk)
Date: Tue May 22 2001 - 09:56:41 PDT

  • Next message: Kevin Murphy: "Re: [UAI] K2 learning"

    Check out the use of Stirling's Approximation : A search on the web should
    find it no problem.

    It offers an approximation for very large factorials.

    Allan Tucker,
    Brunel University,
    Middlesex,
    UK.

    - ----- Original Message -----
    From: "Estevam Rafael Hruschka Junior" <estevamr@terra.com.br>
    To: <uai@cs.orst.edu>
    Sent: Monday, May 21, 2001 11:33 PM
    Subject: [UAI] K2 learning

    > Hi all,
    >
    > I'm using the K2 algorithm (Cooper & Herskovitz, 1992) to learn a bayesian
    > model from data. The point is that in this algorithm I need to compute the
    > fatorial of Nijk (the number of cases in which a variable xi has the value
    > vik, and the parent of x is instantiated as wij). When the number of cases
    > (in the database) is big, I can't compute this fatorial.
    > I was wondering if anybody have already faced this problem and have any
    > sugestion.
    >
    > Thank you in advance,
    >
    > Estevam.
    >
    > - -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
    > Estevam Rafael Hruschka Junior
    > Curitiba - PR - Brazil
    > e-mail: estevamr@terra.com.br
    >



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