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Support-Vector Networks

Corinna Cortes, Vladimir Vapnik | 1995年01月01日

摘要

This paper introduced Support Vector Machines (SVMs), a powerful supervised learning algorithm for classification and regression. SVMs find the optimal hyperplane that separates classes with maximum margin, and can handle non-linear problems through the kernel trick.

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