Re: [UAI] Learning Parameters for the Noisy-OR model

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@e

Re: [UAI] Learning Parameters for the Noisy-OR model

On 2/11/2011 11:32 AM, Rich Neapolitan wrote: 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

Re: [UAI] Learning Parameters for the Noisy-OR model

Rich, One idea is to use the EM algorithm and exploit the explicit representation of the noisy-OR (hidden inhibitors and deterministic OR nodes). My colleagues and me had a paper where we tried this idea (not only for the noisy-OR): Zagorecki, A., Voortman, M. and Druzdzel, M., 2006. Decomposing

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[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

[UAI] Call for Papers: IJCAI Workshop on Social Choice and AI (deadline: 6 April 2011)

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