网络核矩阵;零空间;核心矩阵 网络释义 1. 核矩阵 核矩阵,kernel... ... ) kernel matrix 核心矩阵 )kernel matrix核矩阵) kernel of matrix 矩阵的核 ... www.dictall.com|基于3个网页 2. 零空间 zh.wikipedia.org|基于2个网页 3. 核心矩阵 ...
Finally it is shown that every invertible Hermitean matrix with displacement rank m is the Gram matrix of a "chain" of m × 1 vector valued functions in a suitably defined reproducing kernel Pontryagin space. 展开 出版时间: 1989 ISBN: 978-3-0348-9924-6 被引量: 31 ...
His proof has been improved by the work of T. Wolff, done in the spring of 1979.;In this paper, we extend the vector valued corona theorem on a reproducing kernel Hilbert space to the matrix case. We proved that if the vector valued corona theorem on a reproducing kernel Hilbert space ...
假设data是(X,y), where each row of X (denoted byx_i) and each element of y (denoted byy_i) represent one data point, and letK(X,X)be a matrix whose (i,j)-th element isK(x_i,x_j),假设f 符合GP分布,那么f(x_*)|x_*, X,y(即given “datax_i点的取值是y_i=f(x_i)”...
实际问题中,尤其是像SVM这样的问题,线性不可分的SVM中的feature space 下计算feature 的复杂度极高,而定义一个合格kernel就是为了大大降低这个计算feature 的复杂度。从而这边又可以引出kernel第二个别名,kernel trick。 当然这一切有个专门的地方在讨论,这就是Reproducing Kernel Hilbert Space (RKHS)!
So far, our discussion has been focused on input data that were vectors in a Euclidean space. However, as we have already pointed out, the input data need not necessarily be vectors, and they can be elements of more general sets. Let us denote by S an alphabet set; that is, a set ...
We propose an efficient surrogate mea- sure to evaluate the goodness of a kernel matrix based on the data distributions of classes in the fea- ture space. The measure not only overcomes the limitations of KTA, but also possesses other prop- erties like invariance, efficiency and error bound ...
Let H be an RKHS, associated with a kernel function κ(⋅,⋅), and X a set of elements. Then the mapping is known as feature map and the space H as the feature space.In other words, if X is the set of our observation vectors, the feature mapping maps each vector to the RKHS...
clustering information of the original data in low-dimensional scaling space and get a satisfying clustering result if the kernel function and its parameters are properly selected.The kernel quantification theory Ⅳ provides an effective theoretical tool for processing large-scale sampling data in ...
Namespace: MetalPerformanceShaders Assembly: Xamarin.iOS.dll A kernel that performs a mapping from one matrix to another.C# 複製 [Foundation.Register("MPSMatrixUnaryKernel", true)] [ObjCRuntime.Introduced(ObjCRuntime.PlatformName.TvOS, 11, 0, ObjCRuntime.PlatformArchitecture.All, null)] [...