Machine Learning Techniques 笔记：2-1 Linear Support Vector Machine
Linear Calssification：通过资料加权，看是正还是负，来对资料进行分类。 PLA：把资料做未分类的线不止一条，那条线是最佳的分类？Margin最大？ 我们学过的理论保障：VC bound看起来每种分类没有差别，Eout 由Ein 与 模型复杂度的代价dvc给bound住。 但凭直觉，大家都选择最右面的线，为什么？ 测试资料，与训练资料可能有差别，比如测量误差。 左边的线与右边的线
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相关文章
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