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    KDD
    2009
    ACM
    174views Data Mining» more  KDD 2009»
    Learning from data with uncertain labels by boosting credal classifiers
    15 years 10 months ago
    Learning from data with uncertain labels by boosting credal classifiers
    Download  www.hds.utc.fr
    Benjamin Quost, Thierry Denoeux
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    82
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    KDD
    1994
    ACM
    120views Data Mining» more  KDD 1994»
    Learning Data Trend Regularities From Databases in a Dynamic Environment
    15 years 7 months ago
    Learning Data Trend Regularities From Databases in a Dynamic Environment
    Download  www.aaai.org
    Xiaohua Hu, Nick Cercone, Jinshi Xie
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    113
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    PKDD
    1999
    Springer
    140views Data Mining» more  PKDD 1999»
    Learning of Simple Conceptual Graphs from Positive and Negative Examples
    15 years 7 months ago
    Learning of Simple Conceptual Graphs from Positive and Negative Examples
    Download  vorona.hse.ru
    Sergei O. Kuznetsov
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    KDD
    1994
    ACM
    121views Data Mining» more  KDD 1994»
    Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning
    15 years 7 months ago
    Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning
    Download  www.aaai.org
    John M. Aronis, Foster J. Provost
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    147
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    SEMWEB
    2009
    Springer
    229views Internet Technology» more  SEMWEB 2009»
    Populating the Semantic Web by Macro-reading Internet Text
    15 years 10 months ago
    Populating the Semantic Web by Macro-reading Internet Text
    Download  rtw.ml.cmu.edu
    A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
    Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
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