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    SDM
    2010
    SIAM
    256views Data Mining» more  SDM 2010»
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    13 years 9 months ago
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    Download  www.datamininglab.com
    We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
    B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    13 years 9 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    SDM
    2011
    SIAM
    269views Data Mining» more  SDM 2011»
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    12 years 10 months ago
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    Download  www.cs.cmu.edu
    Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
    Xia Ning, Yanjun Qi
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    KDD
    2012
    ACM
    190views Data Mining» more  KDD 2012»
    The untold story of the clones: content-agnostic factors that impact YouTube video popularity
    11 years 10 months ago
    The untold story of the clones: content-agnostic factors that impact YouTube video popularity
    Download  www.ida.liu.se
    Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
    Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 10 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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