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|    Message 676 of 1,955    |
|    clemenr@wmin.ac.uk to All    |
|    Re: Why use graphic approach for Bayesia    |
|    29 Mar 05 20:55:26    |
      XPost: comp.ai.neural-nets, comp.theory, sci.stat.math              Qingpei Hu wrote:       > Hi, Dear All,       >       > I am currently exploring the technique of (Temporal Bayesian       Networks).       > >From some basic principles, I have some questions generated.       >       > Bayesian networks use the same inference tool of Bayesian methods, so       > why use a network to model? Any NEW properties or advantage could be       > generated?              Out of curiosity, could you please clarify what you mean by "Bayesian       methods"? The network itself is a nice visualisation to use when       deciding which dependencies between variables are going to be directly       represented in your model, and which ones will not be.              Cheers,              Ross-c              [ comp.ai is moderated. To submit, just post and be patient, or if ]       [ that fails mail your article to |
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