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    UAI
    1998
    113views Artificial Intelligence» more  UAI 1998»
    Learning Mixtures of DAG Models
    14 years 16 days ago
    Learning Mixtures of DAG Models
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    We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
    Bo Thiesson, Christopher Meek, David Maxwell Chick...
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    UAI
    1998
    99views Artificial Intelligence» more  UAI 1998»
    Decision Theoretic Foundations of Graphical Model Selection
    14 years 16 days ago
    Decision Theoretic Foundations of Graphical Model Selection
    Download  kmi.open.ac.uk
    Paola Sebastiani, Marco Ramoni
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    UAI
    1998
    144views Artificial Intelligence» more  UAI 1998»
    Context-specific approximation in probabilistic inference
    14 years 16 days ago
    Context-specific approximation in probabilistic inference
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    There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
    David Poole
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    UAI
    1998
    106views Artificial Intelligence» more  UAI 1998»
    Learning From What You Don't Observe
    14 years 16 days ago
    Learning From What You Don't Observe
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    The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
    Mark A. Peot, Ross D. Shachter
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    UAI
    1998
    99views Artificial Intelligence» more  UAI 1998»
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    14 years 16 days ago
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    Download  reference.kfupm.edu.sa
    This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
    Ronald Parr
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    UAI
    1998
    135views Artificial Intelligence» more  UAI 1998»
    A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
    14 years 16 days ago
    A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
    Download  www.broadinstitute.org
    In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
    Stefano Monti, Gregory F. Cooper
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    UAI
    1998
    129views Artificial Intelligence» more  UAI 1998»
    An Experimental Comparison of Several Clustering and Initialization Methods
    14 years 16 days ago
    An Experimental Comparison of Several Clustering and Initialization Methods
    Download  research.microsoft.com
    We examine methods for clustering in high dimensions. In the first part of the paper, we perform an experimental comparison between three batch clustering algorithms: the Expectat...
    Marina Meila, David Heckerman
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    UAI
    1998
    75views Artificial Intelligence» more  UAI 1998»
    Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
    14 years 16 days ago
    Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
    Download  www.aaai.org
    Qualitativeprobabilistic reasoningin a Bayesiannetworkoften reveals tradeoffs: relationships that are ambiguousdue to competingqualitative influences. Wepresent twotechniquesthat ...
    Chao-Lin Liu, Michael P. Wellman
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    UAI
    1998
    84views Artificial Intelligence» more  UAI 1998»
    Measure Selection: Notions of Rationality and Representation Independence
    14 years 16 days ago
    Measure Selection: Notions of Rationality and Representation Independence
    Download  folli.loria.fr
    We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximi...
    Manfred Jaeger
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    UAI
    1998
    106views Artificial Intelligence» more  UAI 1998»
    Any Time Probabilistic Reasoning for Sensor Validation
    14 years 16 days ago
    Any Time Probabilistic Reasoning for Sensor Validation
    Download  usir.salford.ac.uk
    Pablo H. Ibargüengoytia, Luis Enrique Sucar, ...
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