Support Vectors Machine 支持向量机 ; 探讨支持向量机
Support vector machine constructs an optimal hyperplane utilizing a small set of vectors near boundary.
支持向量机利用接近边界的少数向量来构造一个最优分类面。
The cost of the training of support vector machine is too much, if we use thousands of support vectors directly, the computation time would be too long.
支持向量机的训练代价太大，如果直接把成千上万个特征向量直接用作训练，运算时间难以忍受。
How is the VC dimension of a support-vector machine related to its number of support vectors? Is there a formula relating these two quantities?
一个支持向量机的支持向量数相关的VC维是怎样的？有一个公式，关于这两个量？
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