Prior Knowledge in Support Vector Kernels
Abstract
We explore methods for incorporating prior knowledge about a problem at hand in Support Vector learning machines. We show that both invari(cid:173) ances under group transfonnations and prior knowledge about locality in images can be incorporated by constructing appropriate kernel functions.
Cite
Text
Schölkopf et al. "Prior Knowledge in Support Vector Kernels." Neural Information Processing Systems, 1997.Markdown
[Schölkopf et al. "Prior Knowledge in Support Vector Kernels." Neural Information Processing Systems, 1997.](https://mlanthology.org/neurips/1997/scholkopf1997neurips-prior/)BibTeX
@inproceedings{scholkopf1997neurips-prior,
title = {{Prior Knowledge in Support Vector Kernels}},
author = {Schölkopf, Bernhard and Simard, Patrice and Smola, Alex J. and Vapnik, Vladimir},
booktitle = {Neural Information Processing Systems},
year = {1997},
pages = {640-646},
url = {https://mlanthology.org/neurips/1997/scholkopf1997neurips-prior/}
}