The Rectified Gaussian Distribution
Abstract
A simple but powerful modification of the standard Gaussian dis(cid:173) tribution is studied. The variables of the rectified Gaussian are constrained to be nonnegative, enabling the use of nonconvex en(cid:173) ergy functions. Two multimodal examples, the competitive and cooperative distributions, illustrate the representational power of the rectified Gaussian. Since the cooperative distribution can rep(cid:173) resent the translations of a pattern, it demonstrates the potential of the rectified Gaussian for modeling pattern manifolds.
Cite
Text
Socci et al. "The Rectified Gaussian Distribution." Neural Information Processing Systems, 1997.Markdown
[Socci et al. "The Rectified Gaussian Distribution." Neural Information Processing Systems, 1997.](https://mlanthology.org/neurips/1997/socci1997neurips-rectified/)BibTeX
@inproceedings{socci1997neurips-rectified,
title = {{The Rectified Gaussian Distribution}},
author = {Socci, Nicholas D. and Lee, Daniel D. and Seung, H. Sebastian},
booktitle = {Neural Information Processing Systems},
year = {1997},
pages = {350-356},
url = {https://mlanthology.org/neurips/1997/socci1997neurips-rectified/}
}