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    ICML
    2009
    IEEE
    246views Machine Learning» more  ICML 2009»
    BoltzRank: learning to maximize expected ranking gain
    14 years 6 months ago
    BoltzRank: learning to maximize expected ranking gain
    Download  www.cs.toronto.edu
    Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
    Maksims Volkovs, Richard S. Zemel
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    KDD
    1999
    ACM
    184views Data Mining» more  KDD 1999»
    Mining Optimized Gain Rules for Numeric Attributes
    13 years 9 months ago
    Mining Optimized Gain Rules for Numeric Attributes
    Download  gkmc.utah.edu
    —Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
    Sergey Brin, Rajeev Rastogi, Kyuseok Shim
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    ACL
    2011
    237views Computational Linguistics» more  ACL 2011»
    Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
    12 years 9 months ago
    Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
    Download  www.cs.washington.edu
    Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
    Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
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    ISSA
    2004
    110views Information Technology» more  ISSA 2004»
    A Comparative Study Of Standards And Practices Related To Information Security Management
    13 years 6 months ago
    A Comparative Study Of Standards And Practices Related To Information Security Management
    Download  icsa.cs.up.ac.za
    The need for Information Security in organisations, regardless of their type and size, is being addressed by emerging standards and recommended best practices. The various standar...
    Evangelos D. Frangopoulos
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    AIME
    2005
    Springer
    101views Artificial Intelligence» more  AIME 2005»
    Gaining Process Information from Clinical Practice Guidelines Using Information Extraction
    13 years 11 months ago
    Gaining Process Information from Clinical Practice Guidelines Using Information Extraction
    Download  ieg.ifs.tuwien.ac.at
    Katharina Kaiser, Cem Akkaya, Silvia Miksch
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