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|    Message 671 of 1,954    |
|    Qingpei Hu to All    |
|    Why use graphic approach for Bayesian in    |
|    29 Mar 05 06:41:07    |
      XPost: comp.ai.neural-nets, comp.theory, sci.stat.math       From: qingpei.hu@gmail.com              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?              Maybe you would say it is used to deal with complex problems. Any more       besides this?              Thanks,              Qingpei              [ comp.ai is moderated. To submit, just post and be patient, or if ]       [ that fails mail your article to |
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