Novel linear search for support vector machine parameter selection
Author:
Publisher
Zhejiang University Press
Subject
General Engineering
Link
http://link.springer.com/content/pdf/10.1631/jzus.C1100006.pdf
Reference23 articles.
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3. Bi, J., Bennett, K.P., 2003. A geometric approach to support vector regression. Neurocomputing, 55(1–2):79–108. [doi:10.1016/S0925-2312(03)00380-1]
4. Chapelle, O., Vapnik, V., Bousquet, O., Mukherjee, S., 2002. Choosing multiple parameters for support vector machines. Mach. Learn., 46(1/3):131–159. [doi:10.1023/A: 1012450327387]
5. Cherkassky, V., Ma, Y.Q., 2004. Practical selection of SVM parameters and noise estimation for SVM regression. Neur. Networks, 17(1):113–126. [doi:10.1016/S0893-6080(03)00169-2]
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