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    ACL
    2007
    125views Computational Linguistics» more  ACL 2007»
    A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
    15 years 1 months ago
    A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
    Download  www.dfki.de
    A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
    Feiyu Xu, Hans Uszkoreit, Hong Li
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    93
    Voted
    SDM
    2010
    SIAM
    158views Data Mining» more  SDM 2010»
    On the Use of Combining Rules in Relational Probability Trees
    15 years 1 months ago
    On the Use of Combining Rules in Relational Probability Trees
    Download  lirias.kuleuven.be
    A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
    Daan Fierens
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    92
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    KDD
    2009
    ACM
    178views Data Mining» more  KDD 2009»
    Catching the drift: learning broad matches from clickthrough data
    16 years 9 days ago
    Catching the drift: learning broad matches from clickthrough data
    Download  research.microsoft.com
    Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
    Sonal Gupta, Mikhail Bilenko, Matthew Richardson
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    CIKM
    1997
    Springer
    125views Information Technology» more  CIKM 1997»
    Learning Belief Networks from Data: An Information Theory Based Approach
    15 years 3 months ago
    Learning Belief Networks from Data: An Information Theory Based Approach
    Download  www.cs.qub.ac.uk
    This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
    Jie Cheng, David A. Bell, Weiru Liu
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    SC
    2009
    ACM
    274views Applied Computing» more  SC 2009»
    Lessons learned from a year's worth of benchmarks of large data clouds
    15 years 6 months ago
    Lessons learned from a year's worth of benchmarks of large data clouds
    Download  dsl.cs.uchicago.edu
    In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
    Yunhong Gu, Robert L. Grossman
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