Uncertainty in Artificial Intelligence
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A Linear Approximation Method for Probabilistic Inference
Ross Shachter
Abstract:
An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are "second order" probabilities. The approximation, based on the Gaussian influence diagram, iterates over linear approximations to the inference problem.
Keywords:
Pages: 299-306
PS Link:
PDF Link: /papers/88/p299-shachter.pdf
BibTex:
@INPROCEEDINGS{Shachter88,
AUTHOR = "Ross Shachter ",
TITLE = "A Linear Approximation Method for Probabilistic Inference",
BOOKTITLE = "Proceedings of the Fourth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1988",
PAGES = "299--306"
}


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