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A scalability analysis of classifiers in text categorization

SIGIR, pp.96-103, (2003)

Cited: 233|Views43
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Abstract

Real-world applications of text categorization often require a system to deal with tens of thousands of categories defined over a large taxonomy. This paper addresses the problem with respect to a set of popular algorithms in text categorization, including Support Vector Machines, k-nearest neighbor, ridge regression, linear least square ...More

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Yiming Yang
Yiming Yang
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