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4. (15 pts) Consider support vector machines for binary classification and multi-class classification. (a) (7 pts) True or false and explain: The maximal margin classifier

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4. (15 pts) Consider support vector machines for binary classification and multi-class classification. (a) (7 pts) True or false and explain: The maximal margin classifier can be applied in the case of non-separable data. (b) (8 pts) Briefly describe two methods for extending support vector machines from two classes to an arbitrary number (say, K) of classes

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