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- W2076119443 abstract "Based on analyzing the advantages and disadvantages of existing multi-class support vector machines, we construct an improved multi-class support vector machines based on binary tree structure, adopting a new metrics to determine the classification order which determines each sub-classifier and its location, the new metrics synthesizes mixed degree and distance between classes. Then we do a measuring experiment using the improved multi-class support vector machines, which identifies five major P2P IPTV applications, the results show that our method is better than one-against-all and one-against-one method." @default.
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- W2076119443 date "2010-03-01" @default.
- W2076119443 modified "2023-09-22" @default.
- W2076119443 title "An Improved Method for Multi-class Support Vector Machines" @default.
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- W2076119443 doi "https://doi.org/10.1109/icmtma.2010.34" @default.
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