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Bayesian Networks Without Tears (1991)

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by Eugene Charniak
Venue:AI MAGAZINE
Citations:202 - 2 self
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BibTeX

@ARTICLE{Charniak91bayesiannetworks,
    author = {Eugene Charniak},
    title = {Bayesian Networks Without Tears},
    journal = {AI MAGAZINE},
    year = {1991},
    volume = {12},
    number = {4},
    pages = {50--63}
}

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Abstract

I give an introduction to Bayesian networks for AI researchers with a limited grounding in probability theory. Over the last few years, this method of reasoning using probabilities has become popular within the AI probability and uncertainty community. Indeed, it is probably fair to say that Bayesian networks are to a large segment of the AI-uncertainty community what resolution theorem proving is to the AIlogic community. Nevertheless, despite what seems to be their obvious importance, the ideas and techniques have not spread much beyond the research community responsible for them. This is probably because the ideas and techniques are not that easy to understand. I hope to rectify this situation by making Bayesian networks more accessible to the probabilistically unsophisticated.

Citations

5662 Probabilistic reasoning in intelligent systems: networks of plausible inference - Pearl - 1988
1639 A Mathematical Theory of Evidence - Shafer - 1976
1080 Local computations with probabilities on graphical structures and their application to expert systems (with discussion - Lauritzen, Spiegelhalter - 1988
293 Influence diagrams - Howard, Matheson - 2005
264 A new model of plan recognition - Goldman, Geib, et al. - 1999
223 Introduction to Artificial Intelligence - Charniak, McDermott - 1985
158 Propagating uncertainty in Bayesian networks by probabilistic logic sampling, in - Henrion - 1988
150 Computerbased Medical Consultations: MYCIN - Shortliffe - 1976
142 Simulation approaches to general probabilistic inference on belief networks - Shachter, Peot - 1989
137 Hugin* -- a shell for building bayesian belief universes for exp ert systems - Andersen, Olesen, et al. - 1989
131 Bayesian updating in recursive graphical models by local computations - Jensen, Lauritzen, et al. - 1989
128 Probabilistic similarity networks - Heckerman - 1990
128 Probabilistic reasoning in expert systems - Neapolitan - 1990
99 Subjective Bayesian Methods for Rule-based Inference Systems - Duda, Hart, et al. - 1976
84 Bounded conditioning: Flexible inference for decisions under scarce resources - Horvitz, Suermondt, et al. - 1989
78 Probabilistic inference using belief networks is NP-hard - Cooper - 1990
37 A Semantics for Probabilistic Quantifier-Free FirstOrder Languages, with Particular Application to Story Understanding - Charniak, Goldman - 1989
29 Model-based influence diagrams for machine vision - Levitt, Agosta, et al. - 1989
27 An empirical analysis of likelihood-weighting simulation on a large, multiply connected medicial belief network - Shwe, Cooper
25 Heuristic search as evidential reasoning - Mayer - 1989
23 Ideal: Influence diagram evaluation and analysis in lisp - Srinivas, Breese - 1989
22 IDEAL: A software package for the analysis of influence diagrams - Srinivas, Breese - 1990
21 A Probabilistic Approach to Language Understanding - Goldman - 1990
20 Coping with Uncertainty in a Control System for Navigation and Exploration - Dean - 1990
19 Assessment, criticism and improvement of imprecise subjective probabilities for a medical expert system - Spiegelhalter, Bull, et al.
12 Plan recognition in stories and in life - Charniak, Goldman - 1989
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