Sparse Support Vector Machine for pattern recognition
Published • Jul 1, 2013
NobleIDNI5P02W40R47S43
Authors:,,
Guangyi Chen
Tien D. Bui
Adam Krzyżak
Abstract
Support Vector Machine (SVM) is one of the most famous classification techniques in the pattern recognition community. However, due to outliers in the training samples, the SVM tend to be over-trained. This means that the generalization ability of the SVM will decrease for further training. In this ...
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