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Fast Support Vector Machines for Continuous Data

Support vector machines can be trained to be very accurate classifiers and have been used in many applications. However, the training and to a lesser extent prediction time of support vector machines on very large data sets can be very long. This paper presents a fast compression method to scale up...

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Dettagli Bibliografici
Pubblicato in:IEEE Trans Syst Man Cybern B Cybern
Autori principali: Kramer, Kurt A., Hall, Lawrence O., Goldgof, Dmitry B., Remsen, Andrew, Luo, Tong
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2009
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4467789/
https://ncbi.nlm.nih.gov/pubmed/19336328
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TSMCB.2008.2011645
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