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Making large-scale SVM learning practical

By T. (Dortmund Univ. (Germany). Fachbereich Informatik) Joachims and Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

Abstract

Also published in: Advances in Kernel Methods, support vector learning', Schoelkopf, B.; Burges, C.J.C.; Smola, J. (eds.), MIT Press, Cambridge (US) (1998)SIGLEAvailable from TIB Hannover: RR 8460(1998,28) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Topics: 09H - Computer software, programming, PATTERN RECOGNITION PROBLEM, QUADRATIC OPTIMIZATION PROBLEM, SUPPORT VECTOR MACHINE, DECOMPOSITION ALGORITHM, IMPLEMENTATIONAL APPROACH, BENCHMARK TASKS, TEXT CLASSIFICATION, IMAGE RECOGNITION
Year: 1998
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Provided by: OpenGrey Repository
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