Rich, Why would it be different from logistic regression, for which there is a volume of statistical literature.?. (If I take logP(x=0|pa(x)), I get a linear expression in the parameters, the rest should fall in place) ==Judea ----- Original Message ----- From: Rich Neapolitan To: uai@engr.orst.edu Sent: Friday, February 11, 2011 8:32 AM Subject: [UAI] Learning Parameters for the Noisy-OR model
Once again, I am going against the grain and submitting a post that is not a job ad or a conference announcement. I hope no one takes offense. My question concerns the noisy-OR model. The traditional way to assess a parameter value for a given cause is to use the data items that only have that cause present. However, if there are many causes and limited data, there will be few such data items. I want an approximation method that deals with this problem. A quick Google search did not reveal any previous work in this area. I have a few ideas, but I thought I would first ask if anyone knows of anything that has already been done in this area. Best regards, Rich Rich Neapolitan Professor and Chair of Computer Science Northeastern Illinois University 5500 N. St. Louis Chicago, Il 60625 ------------------------------------------------------------------------------ _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
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