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？
A method using combined parameters of natural frequencies and modal components as input vectors for support vector machine is presented in this paper.
提出一种由固有频率和模态分量构成的组合参数作为支持向量机输入向量的方法。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
The fuzzy membership based on the affinity among samples for support vector machine effectively distinguishes between support vectors and outliers or noises.
将其应用于模糊支持向量机方法中，较好地将支持向量与含噪声或野值样本区分开。
The fuzzy membership based on the affinity among samples for support vector machine effectively distinguishes between support vectors and outliers or noises.
将其应用于模糊支持向量机方法中，较好地将支持向量与含噪声或野值样本区分开。
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