Large Scale Online Learning
Abstract
We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed on- line learning algorithms asymptotically outperform any batch learning algorithm. Both theoretical and experimental evidences are presented.
Cite
Text
Bottou and Cun. "Large Scale Online Learning." Neural Information Processing Systems, 2003.Markdown
[Bottou and Cun. "Large Scale Online Learning." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/bottou2003neurips-large/)BibTeX
@inproceedings{bottou2003neurips-large,
title = {{Large Scale Online Learning}},
author = {Bottou, Léon and Cun, Yann L.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {217-224},
url = {https://mlanthology.org/neurips/2003/bottou2003neurips-large/}
}