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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 9 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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    76
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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 6 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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    104
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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 6 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 6 months ago
    Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning
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    John M. Aronis, Foster J. Provost
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    137
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    SEMWEB
    2009
    Springer
    229views Internet Technology» more  SEMWEB 2009»
    Populating the Semantic Web by Macro-reading Internet Text
    15 years 9 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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