Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
This paper with elementary transformation of matrix discusses some properties of a set of vectors in finite dimensional vector space and the theory basis of this method is given.
该文利用矩阵的初等变换解决有限维向量空间中向量组的线性性质的有关问题，并给出了这种方法的理论依据。
According to this point of view the transmission and scattering in multilayer dielectric waveguides can be regarded as coordinate transformation of a vector in ann-dimensional vector space.
根据这种观点，多层介质波导中波的传播和散射可以归结为多维空间向量的坐标变换，并可用传输线和网络表示。
According to this point of view the transmission and scattering in multilayer dielectric waveguides can be regarded as coordinate transformation of a vector in ann-dimensional vector space.
根据这种观点，多层介质波导中波的传播和散射可以归结为多维空间向量的坐标变换，并可用传输线和网络表示。
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