Adaptation and Unsupervised Learning
Abstract
Adaptation is a ubiquitous neural and psychological phenomenon, with a wealth of instantiations and implications. Although a basic form of plasticity, it has, bar some notable exceptions, attracted computational theory of only one main variety. In this paper, we study adaptation from the perspective of factor analysis, a paradigmatic technique of unsuper- vised learning. We use factor analysis to re-interpret a standard view of adaptation, and apply our new model to some recent data on adaptation in the domain of face discrimination.
Cite
Text
Dayan et al. "Adaptation and Unsupervised Learning." Neural Information Processing Systems, 2002.Markdown
[Dayan et al. "Adaptation and Unsupervised Learning." Neural Information Processing Systems, 2002.](https://mlanthology.org/neurips/2002/dayan2002neurips-adaptation/)BibTeX
@inproceedings{dayan2002neurips-adaptation,
title = {{Adaptation and Unsupervised Learning}},
author = {Dayan, Peter and Sahani, Maneesh and Deback, Gregoire},
booktitle = {Neural Information Processing Systems},
year = {2002},
pages = {237-244},
url = {https://mlanthology.org/neurips/2002/dayan2002neurips-adaptation/}
}