假设K是核函数,同时K也是一个mXm的方阵,Kij=(K(i),K(j)),称为核矩阵(Kernel matrix)。如果核是有效的,K必须是对称矩阵,因为两个输入x,z的内积与两者的前后顺序无关。
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Volterra kernel matrix Volterra核矩阵
kernel matrix learning 核矩阵学习
SNN kernel matrix SNN核矩阵
Roughness kernel matrix 粗糙度核矩阵
combinatorial kernel matrix 组合核矩阵
kernel matrix of training sample 样本核矩阵
kernel of matrix 矩阵的核
Kernel Extensional Matrix Matching 核心扩展方阵匹配
A novel method for dimensionality reduction of kernel matrix is presented.
提出了基于聚类的核矩阵维度缩减技术。
Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.
通过自适应的离散粒子群算法来对核相似矩阵进行学习。
Decomposition of dynamic matrix becomes a new research topic as soon as the LP dynamic factorization and kernel matrix came out.
随着线性规划动态分解和核心矩阵的出现,矩阵的动态分解成为了一个新的研究课题。
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