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    » Semi-supervised Clustering Using Bayesian Regularization
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    CLASSIFICATION
    2007
    105views more  CLASSIFICATION 2007»
    Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
    13 years 6 months ago
    Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
    Download  www.stat.washington.edu
    Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
    Chris Fraley, Adrian E. Raftery
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    AI
    2006
    Springer
    184views Artificial Intelligence» more  AI 2006»
    Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
    13 years 6 months ago
    Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
    Download  ti.arc.nasa.gov
    This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
    Ole J. Mengshoel, David C. Wilkins, Dan Roth
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    UAI
    1996
    146views Artificial Intelligence» more  UAI 1996»
    Context-Specific Independence in Bayesian Networks
    13 years 7 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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    JCB
    2007
    198views more  JCB 2007»
    Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
    13 years 6 months ago
    Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
    Download  www.eecs.umich.edu
    Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
    Dongxiao Zhu, Alfred O. Hero III
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