Takemasa Yamasaki

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Support vector machines (SVMs) are known to result in a quadratic programming problem, that requires a large computational complexity. To overcome this problem, the authors proposed two incremental SVMs from geometrical point of view in the previous study, both have a linear complexity with respect to the number of examples on average. One method was shown(More)
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