Gao J B, Harris C J, Gunn S R
Image, Speech and Intelligent System Research Group, Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.
Neural Comput. 2001 Sep;13(9):1975-94. doi: 10.1162/089976601750399263.
There has been an increasing interest in kernel-based techniques, such as support vector techniques, regularization networks, and gaussian processes. There are inner relationships among those techniques, with the kernel function playing a central role. This article discusses a new class of kernel functions derived from the so-called frames in a function Hilbert space.
人们对基于核的技术越来越感兴趣,比如支持向量技术、正则化网络和高斯过程。这些技术之间存在内在联系,其中核函数起着核心作用。本文讨论了一类新的核函数,它源自函数希尔伯特空间中所谓的框架。