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    UAI
    1996
    146views Artificial Intelligence» more  UAI 1996»
    Context-Specific Independence in Bayesian Networks
    13 years 9 months ago
    Context-Specific Independence in Bayesian Networks
    Download  robotics.stanford.edu
    Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
    Craig Boutilier, Nir Friedman, Moisés Golds...
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    JMLR
    2010
    107views more  JMLR 2010»
    Learning Instance-Specific Predictive Models
    13 years 2 months ago
    Learning Instance-Specific Predictive Models
    Download  jmlr.csail.mit.edu
    This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
    Shyam Visweswaran, Gregory F. Cooper
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    SEMWEB
    2007
    Springer
    112views Internet Technology» more  SEMWEB 2007»
    An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
    14 years 2 months ago
    An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
    Download  c4i.gmu.edu
    Clinical Practice Guidelines (CPGs) play an important role in improving the quality of care and patient outcomes. Although several machine-readable representations of practice guid...
    Hai-Tao Zheng, Bo-Yeong Kang, Hong-Gee Kim
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    ICB
    2009
    Springer
    173views Biometrics» more  ICB 2009»
    Bayesian Networks to Combine Intensity and Color Information in Face Recognition
    13 years 5 months ago
    Bayesian Networks to Combine Intensity and Color Information in Face Recognition
    Download  publications.idiap.ch
    We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
    Guillaume Heusch, Sébastien Marcel
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