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This paper proposes a new hierarchical learning structure, namely the holistic triple learning (HTL), for extending the binary support vector machine (SVM) to multi-classification problems. For an N-class problem, a HTL constructs a decision tree up to a depth of $$\lceil N/3\rceil+1$$ . A leaf node of the decision tree is allowed to be placed with a holistic triple learning unit whose generalisation...
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