Machine Learning Techniques 笔记：2-4 Soft-Margin Support Vector Machine
有效率：像linear的方向走。 想要弯弯曲曲的复杂边界：网Gaussian kernel方向走。 Kernel：把转换与算内积两个步骤合起来，可以用dual SVM解决很多维度，可以实现无限多维转换。 SVM也可能会overfit，一部分可能来源于很强的转换，另一部分也可能来自你坚持一定坚持要完美的分开。 Pocket：找不到完美的线分来，我们找一个错误最少的线。 放弃对零差错的追求 Hard-
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