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    KDD
    1995
    ACM
    139views Data Mining» more  KDD 1995»
    Extracting Support Data for a Given Task
    15 years 3 months ago
    Extracting Support Data for a Given Task
    Download  www.aaai.org
    We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
    Bernhard Schölkopf, Chris Burges, Vladimir Va...
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    CORR
    2002
    Springer
    96views Education» more  CORR 2002»
    Thumbs up? Sentiment Classification using Machine Learning Techniques
    14 years 11 months ago
    Thumbs up? Sentiment Classification using Machine Learning Techniques
    Download  www.cs.cornell.edu
    We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, w...
    Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    16 years 6 days ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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    SIGIR
    2004
    ACM
    214views Information Technology» more  SIGIR 2004»
    Classifying racist texts using a support vector machine
    15 years 5 months ago
    Classifying racist texts using a support vector machine
    Download  doras.dcu.ie
    In this poster we present an overview of the techniques we used to develop and evaluate a text categorisation system for the PRINCIP project which sets out to automatically classi...
    Edel Greevy, Alan F. Smeaton
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    CORR
    2008
    Springer
    113views Education» more  CORR 2008»
    Robustness, Risk, and Regularization in Support Vector Machines
    14 years 12 months ago
    Robustness, Risk, and Regularization in Support Vector Machines
    Download  users.ece.utexas.edu
    We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
    Huan Xu, Shie Mannor, Constantine Caramanis
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