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Can someone suggest some papers about the multi-classification methods by SVM? One against all? A good survey or paper which clearly describes all of the steps.

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The best resource for multi-classification support vector machines (SVM) is the book "Pattern Recognition and Machine Learning" by Bishop.

The paper "A comparison of methods for multiclass support vector machines" by Hsu and Lin also covers the topic.

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