Scaling Up Support Vector Machines with Application to Plankton Recognition

Scaling Up Support Vector Machines with Application to Plankton Recognition

Learning a predictive model for a large scale real-world problem presents several challenges: the choice of a good feature set and a scalable machine learning algorithm with small generalization error. A support vector machine (SVM), based on statistical learning theory, obtains good generalization...

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Bibliographic Details
Main Author:	Luo, Tong
Format:	Others
Published:	Scholar Commons 2005
Subjects:	Machine learning Data mining Kernel machines Active learning Bit reduction American Studies Arts and Humanities
Online Access:	https://scholarcommons.usf.edu/etd/753 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1752&context=etd

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