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    EJC
    2008
    94views Information Technology» more  EJC 2008»
    Managing Co-reference Knowledge for Data Integration
    13 years 11 months ago
    Managing Co-reference Knowledge for Data Integration
    Download  www.ite.gr
    This paper presents a novel model of co-reference knowledge, which is based on the distinction of (i) a model of a common reality, (ii) a model of an agent's opinion about rea...
    Carlo Meghini, Martin Doerr, Nicolas Spyratos
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    IMECS
    2007
    185views Theoretical Computer Science» more  IMECS 2007»
    On Extendable Software Architecture for Spam Email Filtering
    13 years 11 months ago
    On Extendable Software Architecture for Spam Email Filtering
    Download  www.iaeng.org
    —The research community and the IT industry have invested significant effort in fighting spam emails. There are many different approaches, ranging from white listing, black listi...
    Wanli Ma, Dat Tran, Dharmendra Sharma
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    TRECVID
    2008
    119views Internet Technology» more  TRECVID 2008»
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    13 years 11 months ago
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    Download  www-nlpir.nist.gov
    This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
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    SDM
    2007
    SIAM
    130views Data Mining» more  SDM 2007»
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
    13 years 11 months ago
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
    Download  siam.org
    Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
    Henrik Boström
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    HIS
    2004
    117views Information Technology» more  HIS 2004»
    K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
    13 years 11 months ago
    K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
    Download  sci2s.ugr.es
    Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
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