ML Anthology

Geometric Parameters of Kernel Machines

Shahar Mendelson
COLT 2002 pp. 29-43
doi:10.1007/3-540-45435-7_3 /colt/2002/mendelson2002colt-geometric/

Abstract

We investigate the fat-shattering dimension and the localized Rademacher averages of kernel machines and their connection to the eigenvalues associated with the kernel.

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Cite

Text

Mendelson. "Geometric Parameters of Kernel Machines." Annual Conference on Computational Learning Theory, 2002. doi:10.1007/3-540-45435-7_3

Markdown

[Mendelson. "Geometric Parameters of Kernel Machines." Annual Conference on Computational Learning Theory, 2002.](https://mlanthology.org/colt/2002/mendelson2002colt-geometric/) doi:10.1007/3-540-45435-7_3

BibTeX

@inproceedings{mendelson2002colt-geometric,
  title     = {{Geometric Parameters of Kernel Machines}},
  author    = {Mendelson, Shahar},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {2002},
  pages     = {29-43},
  doi       = {10.1007/3-540-45435-7_3},
  url       = {https://mlanthology.org/colt/2002/mendelson2002colt-geometric/}
}