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    WILF
    2005
    Springer
    194views Fuzzy Logic» more  WILF 2005»
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    14 years 29 days ago
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    Download  www.mi.ieiit.cnr.it
    Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
    Andrea Bosin, Nicoletta Dessì, Diego Libera...
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    KDD
    1995
    ACM
    109views Data Mining» more  KDD 1995»
    An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
    13 years 11 months ago
    An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
    Download  www.aaai.org
    The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
    Michael J. Pazzani
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    ICML
    2002
    IEEE
    147views Machine Learning» more  ICML 2002»
    Exact model averaging with naive Bayesian classifiers
    14 years 8 months ago
    Exact model averaging with naive Bayesian classifiers
    Download  www.pittsburgh.intel-research.net
    The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
    Denver Dash, Gregory F. Cooper
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    BMCBI
    2006
    150views more  BMCBI 2006»
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
    13 years 7 months ago
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
    Download  www.biomedcentral.com
    Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
    Alla Bulashevska, Roland Eils
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    ICDAR
    2009
    IEEE
    180views Document Analysis» more  ICDAR 2009»
    Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
    14 years 2 months ago
    Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
    Download  www.cvc.uab.es
    We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
    Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
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