On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

Gao, Junbin; Harris, Chris J.; Gunn, Steve R.

doi:10.1162/089976601750399263

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

Junbin Gao, Chris J. Harris, Steve R. Gunn

NeCo 2001 pp. 1975-1994

doi:10.1162/089976601750399263 /neco/2001/gao2001neco-class/

Abstract

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.

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Text

Gao et al. "On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces." Neural Computation, 2001. doi:10.1162/089976601750399263

Markdown

[Gao et al. "On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces." Neural Computation, 2001.](https://mlanthology.org/neco/2001/gao2001neco-class/) doi:10.1162/089976601750399263

BibTeX

@article{gao2001neco-class,
  title     = {{On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces}},
  author    = {Gao, Junbin and Harris, Chris J. and Gunn, Steve R.},
  journal   = {Neural Computation},
  year      = {2001},
  pages     = {1975-1994},
  doi       = {10.1162/089976601750399263},
  volume    = {13},
  url       = {https://mlanthology.org/neco/2001/gao2001neco-class/}
}