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    Data Selection for Support Vector Machine Classifiers 

    Olvi, Mangasarian; Fung, Glenn (2000)
    The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classi er, is formulated as a concave minimization problem and solved by a nite number ...

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    AuthorFung, Glenn (1)
    Olvi, Mangasarian (1)
    Subjectconcave minimization (1)
    data classification (1)
    data selection (1)
    linear programming (1)
    support vector machines (1)
    ... View MoreDate Issued
    2000 (1)
    Has File(s)Yes (1)

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