Call for NIPS 2008 Kernel Learning Workshop Submissions
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P. Bradley and O. Mangasarian (1998)
Massive Data Discrimination via Linear Suppport Vector Machines
University of Wisconsin Madison, Mathematical Programming Technical Report(98-05).
A linear support vector machine formulation is used to generate a fast, finitely-terminating linear-programming chunking algorithm for discriminating between two massive sets in $n$-dimensional space, where the number of points, possibly a million, can be orders of magnitude larger than n.