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    IIS
    2000
    138views Information Technology» more  IIS 2000»
    Extension of the HEPAR II Model to Multiple-Disorder Diagnosis
    13 years 9 months ago
    Extension of the HEPAR II Model to Multiple-Disorder Diagnosis
    Download  www.pitt.edu
    The Hepar II system is based on a Bayesian network model of a subset of the domain of hepatology in which the structure of the network is elicited from an expert diagnostician and ...
    Agnieszka Onisko, Marek Druzdezel, Hanna Wasyluk
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    ICMLA
    2009
    185views Machine Learning» more  ICMLA 2009»
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    13 years 5 months ago
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    Download  staff.science.uva.nl
    Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
    Mark Kroon, Shimon Whiteson
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    UAI
    1998
    248views Artificial Intelligence» more  UAI 1998»
    The Bayesian Structural EM Algorithm
    13 years 9 months ago
    The Bayesian Structural EM Algorithm
    Download  www.cs.huji.ac.il
    In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
    Nir Friedman
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    ICML
    2000
    IEEE
    158views Machine Learning» more  ICML 2000»
    Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets
    14 years 8 months ago
    Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets
    Download  path.berkeley.edu
    We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
    Zu Whan Kim, Ramakant Nevatia
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    CVPR
    2006
    IEEE
    216views Computer Vision» more  CVPR 2006»
    Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification
    14 years 9 months ago
    Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification
    Download  www.cs.rutgers.edu
    Minyoung Kim, Vladimir Pavlovic
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