Uncertainty in Artificial Intelligence
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Robust Inference Policies
Paul Lehner
Abstract:
A series of monte carlo studies were performed to assess the extent to which different inference procedures robustly output reasonable belief values in the context of increasing levels of judgmental imprecision. It was found that, when compared to an equal-weights linear model, the Bayesian procedures are more likely to deduce strong support for a hypothesis. But, the Bayesian procedures are also more likely to strongly support the wrong hypothesis. Bayesian techniques are more powerful, but are also more error prone.
Keywords:
Pages: 170-179
PS Link:
PDF Link: /papers/90/p170-lehner.pdf
BibTex:
@INPROCEEDINGS{Lehner90,
AUTHOR = "Paul Lehner ",
TITLE = "Robust Inference Policies",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "170--179"
}


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