Hi,
Thank you for your help.
But what you have mentioned is about continunous variables, and
what I will deal with is a variable which is discrete but have many many
values. I wonder if it can do.
Tong.
On Mon, 28 Aug 2000, Ellis Clarke wrote:
>
> On Fri, 25 Aug 2000, Ruan Tong wrote:
>
> >
> > Hi,Everybody.
> > Thanks in advance if anybody would like to help me.
> >
> > 1. Is there some bayesian software which can help to construct
> > dynamic bayesian network? and is there any tutorial or guidance on it?
> >
> > 2. When constructing DBN, is there some method to deal with the
> > change of variable's domain in different time-slice? For example variable
> > v1 has three possible value in time slice t1, t2, t3, and in time-slice
> > t15, it has 5 possible value, and theoretically, variable v1 can have
> > 10000 possible values.
> > A real world application of such a suituation is user's interests of some
> > kinds of information. There thousands categories of information, but in
> > some particular periods, user may only focus on very limited domain.
> >
> >
> > Thanks in advance if anybody could help me.
> >
> >
> >
> >
> For the 2nd question, there is a method to dynamically repartition the
> range of a continuous variable into an 'optimal' number of partitions,
> using the Minimum Descriptive Length metric, during BBN creation. This
> method can also be used to create static partitions before BBN creation.
> The method is described in:
> Clarke,E., and Barton,B., (2000), Entropy and MDL Discretization of
> Continuous Variables for Bayesian Belief Networks, International Journal
> of Intelligent Systems, 15, 1, 61-92.
> The method is designed to decrease the number of partitions, or variable
> values, for a possible better metric score for BBN structure creation.
> This may help with dynamic repartitioning.
> Good luck.
> Ellis
> _____________________________________________________________________
> Ellis Clarke, Ph.D.; CSEE, University of Maryland Baltimore County;
> [EMAIL PROTECTED]
> _____________________________________________________________________
>
>
