Analysis of Multiclass Support Vector Machines

International Conference on Computational Intelligence forModelling, Control and Automation, (2003)

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Since support vector machines for pattern classification are based on two-class classification problems, unclassifiable regions exist when extended to problems with more than two classes. In our previous work, to solve this problem, we developed fuzzy support vector machines for one-against-all and pairwise classifications, introducing me...More

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