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1 简介支持向量机是一种建立在统计学习理论上的机器学习方法, 它追求结构化风险最小而不是经验风险最小, 具有很强的推广能力. SVM 是从线性可分的二分类问题发展而来的, 其基本思想是寻找两类样本的最优分类面, 使得两类样本的分类间隔 ( margin) 最大. 以图 1 所示为...

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