Distributed Support Vector Machine Learning
Support Vector Machines (SVMs) are used for a growing number of applications. A fundamental constraint on SVM learning is the management of the training set. This is because the order of computations goes as the square of the size of the training set. Typically, training sets of 1000 (500 positives...
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| Format: | Others |
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ScholarWorks@UNO
2008
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| Online Access: | http://scholarworks.uno.edu/td/711 http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=1711&context=td |