SVM-Based Negative Data Mining to Binary Classification

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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Bibliographic Details
Main Author: Jiang, Fuhua
Format: Others
Published: Digital Archive @ GSU 2006
Subjects:
Data partition
Data classification
Vector similarity
Multiple passes learning
Machine learning
Bagging
Boosting
Support vector machines
Data preparation
Computer Sciences
Online Access:http://digitalarchive.gsu.edu/cs_diss/8
http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1007&context=cs_diss

Internet

http://digitalarchive.gsu.edu/cs_diss/8
http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1007&context=cs_diss

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