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HUANG Zhen-long, ZHENG Jun, HU Wen-xin. Text classification based on inter-class separability DAG-SVM[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 209-218.
Citation:
HUANG Zhen-long, ZHENG Jun, HU Wen-xin. Text classification based on inter-class separability DAG-SVM[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 209-218.
HUANG Zhen-long, ZHENG Jun, HU Wen-xin. Text classification based on inter-class separability DAG-SVM[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 209-218.
Citation:
HUANG Zhen-long, ZHENG Jun, HU Wen-xin. Text classification based on inter-class separability DAG-SVM[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 209-218.
This paper took an improved algorithm based on inter-class separability directed acyclic graph support vector machine (DAG-SVM) for text classification.The method has adjusted the DAG structure according to inter-class distribution and the distance between centers. It has solved the problems of fixed structure and random single node location in traditional DAG-SVM multi-classification method.The experiments show that the algorithm has improved the accuracy.
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