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    UAI
    1996
    132views Artificial Intelligence» more  UAI 1996»
    Critical Remarks on Single Link Search in Learning Belief Networks
    13 years 5 months ago
    Critical Remarks on Single Link Search in Learning Belief Networks
    Download  www.cis.uoguelph.ca
    In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
    Yang Xiang, S. K. Michael Wong, Nick Cercone
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    UAI
    1996
    139views Artificial Intelligence» more  UAI 1996»
    Binary Join Trees
    13 years 5 months ago
    Binary Join Trees
    Download  web.ku.edu
    The main goal of this paper is to describe a data structure called binary join trees that are useful in computing multiple marginals efficiently using the Shenoy-Shafer architectu...
    Prakash P. Shenoy
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    UAI
    1996
    70views Artificial Intelligence» more  UAI 1996»
    A Measure of Decision Flexibility
    13 years 5 months ago
    A Measure of Decision Flexibility
    Download  www-leland.stanford.edu
    We propose a decision-analytical approach to comparing the flexibility of decision situations from the perspective of a decisionmaker who exhibits constant risk-aversion over a mo...
    Ross D. Shachter, Marvin Mandelbaum
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    UAI
    1996
    111views Artificial Intelligence» more  UAI 1996»
    A Discovery Algorithm for Directed Cyclic Graphs
    13 years 5 months ago
    A Discovery Algorithm for Directed Cyclic Graphs
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    Thomas Richardson
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    UAI
    1996
    109views Artificial Intelligence» more  UAI 1996»
    A Graph-Theoretic Analysis of Information Value
    13 years 5 months ago
    A Graph-Theoretic Analysis of Information Value
    Download  research.microsoft.com
    We derive qualitative relationships about the informationalrelevance of variables in graphical decision models based on a consideration of the topology of the models. Speci cally,...
    Kim-Leng Poh, Eric Horvitz
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    UAI
    1996
    111views Artificial Intelligence» more  UAI 1996»
    Network Engineering for Complex Belief Networks
    13 years 5 months ago
    Network Engineering for Complex Belief Networks
    Download  www.mathcs.emory.edu
    Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a ...
    Suzanne M. Mahoney, Kathryn B. Laskey
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    UAI
    1996
    168views Artificial Intelligence» more  UAI 1996»
    Bayesian Learning of Loglinear Models for Neural Connectivity
    13 years 5 months ago
    Bayesian Learning of Loglinear Models for Neural Connectivity
    Download  www.mpib-berlin.mpg.de
    This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
    Kathryn B. Laskey, Laura Martignon
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    UAI
    1996
    126views Artificial Intelligence» more  UAI 1996»
    Computing upper and lower bounds on likelihoods in intractable networks
    13 years 5 months ago
    Computing upper and lower bounds on likelihoods in intractable networks
    Download  www.bitsavers.org
    Tommi Jaakkola, Michael I. Jordan
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    UAI
    1996
    107views Artificial Intelligence» more  UAI 1996»
    Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon
    13 years 5 months ago
    Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon
    Download  reference.kfupm.edu.sa
    Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
    Kurt Huang, Max Henrion
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    UAI
    1996
    102views Artificial Intelligence» more  UAI 1996»
    Why is diagnosis using belief networks insensitive to imprecision in probabilities?
    13 years 5 months ago
    Why is diagnosis using belief networks insensitive to imprecision in probabilities?
    Download  bmir.stanford.edu
    Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
    Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
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