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Compiling support vector machines for efficient classification
The time cost of classifying examples with support vector machines is traditionally linear in the number of support vectors, since each example computes dot products with each SV.
Document ID
20060031147
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
hdl:2014/12300
Authors
DeCoste, D.
Date Acquired
August 23, 2013
Publication Date
June 28, 2001
Distribution Limits
Public
Copyright
Other
Keywords
support vector machines machine learning classifiers
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