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    ISTA
    2003
    178views Information Technology» more  ISTA 2003»
    Support Vector Machine Parameter Optimization for Text Categorization Problems
    13 years 9 months ago
    Support Vector Machine Parameter Optimization for Text Categorization Problems
    Download  subs.emis.de
    : This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
    Mikhail S. Ageev, Boris V. Dobrov
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    ICPR
    2010
    IEEE
    243views Computer Vision» more  ICPR 2010»
    Adaptive Incremental Learning with an Ensemble of Support Vector Machines
    13 years 8 months ago
    Adaptive Incremental Learning with an Ensemble of Support Vector Machines
    Download  www.livia.etsmtl.ca
    The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
    Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
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    BMCBI
    2006
    106views more  BMCBI 2006»
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    13 years 8 months ago
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    Download  www.biomedcentral.com
    Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their...
    H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B....
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    JMLR
    2008
    110views more  JMLR 2008»
    Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
    13 years 8 months ago
    Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
    Download  jmlr.csail.mit.edu
    Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
    Bo Jiang, Xuegong Zhang, Tianxi Cai
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    MMS
    2006
    130views Information Technology» more  MMS 2006»
    Support vector machine active learning for music retrieval
    13 years 7 months ago
    Support vector machine active learning for music retrieval
    Download  www.ee.columbia.edu
    Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
    Michael I. Mandel, Graham E. Poliner, Daniel P. W....
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