Mean Field Methods for Classification with Gaussian Processes
Abstract
We discuss the application of TAP mean field methods known from the Statistical Mechanics of disordered systems to Bayesian classifi(cid:173) cation models with Gaussian processes. In contrast to previous ap(cid:173) proaches, no knowledge about the distribution of inputs is needed. Simulation results for the Sonar data set are given.
Cite
Text
Opper and Winther. "Mean Field Methods for Classification with Gaussian Processes." Neural Information Processing Systems, 1998.Markdown
[Opper and Winther. "Mean Field Methods for Classification with Gaussian Processes." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/opper1998neurips-mean/)BibTeX
@inproceedings{opper1998neurips-mean,
title = {{Mean Field Methods for Classification with Gaussian Processes}},
author = {Opper, Manfred and Winther, Ole},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {309-315},
url = {https://mlanthology.org/neurips/1998/opper1998neurips-mean/}
}