SVM-Based Negative Data Mining to Binary Classification
The properties of training data set such as size, distribution and the number of attributes significantly contribute to the generalization error of a learning machine. A not well-distributed data set is prone to lead to a partial overfitting model. Two approaches proposed in this dissertation for th...
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Format: | Others |
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Digital Archive @ GSU
2006
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Online Access: | http://digitalarchive.gsu.edu/cs_diss/8 http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1007&context=cs_diss |