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    UAI
    1993
    110views Artificial Intelligence» more  UAI 1993»
    Utility-Based Abstraction and Categorization
    13 years 5 months ago
    Utility-Based Abstraction and Categorization
    Download  research.microsoft.com
    Based Abstraction and Categorization Eric J. Horvitz∗ and Adrian C. Klein Palo Alto Laboratory Rockwell International Science Center 444 High Street Palo Alto, CA 94301 We take ...
    Eric Horvitz, Adrian Klein
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    UAI
    1993
    110views Artificial Intelligence» more  UAI 1993»
    Probabilistic Assumption-Based Reasoning
    13 years 5 months ago
    Probabilistic Assumption-Based Reasoning
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    In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
    Jürg Kohlas, Paul-André Monney
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    UAI
    1993
    102views Artificial Intelligence» more  UAI 1993»
    Diagnosis of Multiple Faults: A Sensitivity Analysis
    13 years 5 months ago
    Diagnosis of Multiple Faults: A Sensitivity Analysis
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    We compare the diagnostic accuracy of three diagnostic inference models: the simple Bayes model, the multimembership Bayes model, which is isomorphic to the parallel combination f...
    David Heckerman, Michael Shwe
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    UAI
    1994
    123views Artificial Intelligence» more  UAI 1994»
    Approximation Algorithms for the Loop Cutset Problem
    13 years 5 months ago
    Approximation Algorithms for the Loop Cutset Problem
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    We show how to nd a minimum weight loop cutset in a Bayesian network with high probability. Finding such a loop cutset is the rst step in the method of conditioning for inference....
    Ann Becker, Dan Geiger
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    UAI
    1993
    144views Artificial Intelligence» more  UAI 1993»
    Causal Independence for Knowledge Acquisition and Inference
    13 years 5 months ago
    Causal Independence for Knowledge Acquisition and Inference
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    I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...
    David Heckerman
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    UAI
    1993
    89views Artificial Intelligence» more  UAI 1993»
    Inference Algorithms for Similarity Networks
    13 years 5 months ago
    Inference Algorithms for Similarity Networks
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    We examine two types of similarity networks each based on a distinct notion of relevance. For both types of similarity networks we present an efficient inference algorithm that wo...
    Dan Geiger, David Heckerman
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    UAI
    1994
    123views Artificial Intelligence» more  UAI 1994»
    Generating New Beliefs from Old
    13 years 5 months ago
    Generating New Beliefs from Old
    Download  www.cs.toronto.edu
    In previous work [BGHK92, BGHK93], we have studied the random-worlds approach--a particular (and quite powerful) method for generating degrees of belief (i.e., subjective probabil...
    Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
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    UAI
    1994
    96views Artificial Intelligence» more  UAI 1994»
    Exploratory Model Building
    13 years 5 months ago
    Exploratory Model Building
    Download  platbox.sfc.keio.ac.jp
    Raj Bhatnagar
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    UAI
    1993
    119views Artificial Intelligence» more  UAI 1993»
    Incremental Probabilistic Inference
    13 years 5 months ago
    Incremental Probabilistic Inference
    Download  web.engr.oregonstate.edu
    Bruce D'Ambrosio
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    UAI
    1993
    117views Artificial Intelligence» more  UAI 1993»
    Argumentative inference in uncertain and inconsistent knowledge bases
    13 years 5 months ago
    Argumentative inference in uncertain and inconsistent knowledge bases
    Download  www.cril.univ-artois.fr
    : This paper presents and discusses several methods for reasoning from inconsistent knowledge bases. A so-called argumentative-consequence relation, taking into account the existen...
    Salem Benferhat, Didier Dubois, Henri Prade
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