God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune
Abstract
The work shows how a meta-learning technique can be successfully applied to decide when to prune, how much pruning is appropriate and what the best pruning technique is for a given learning task.
Cite
Text
Bensusan. "God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune." European Conference on Machine Learning, 1998. doi:10.1007/BFB0026680Markdown
[Bensusan. "God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune." European Conference on Machine Learning, 1998.](https://mlanthology.org/ecmlpkdd/1998/bensusan1998ecml-god/) doi:10.1007/BFB0026680BibTeX
@inproceedings{bensusan1998ecml-god,
title = {{God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune}},
author = {Bensusan, Hilan},
booktitle = {European Conference on Machine Learning},
year = {1998},
pages = {119-124},
doi = {10.1007/BFB0026680},
url = {https://mlanthology.org/ecmlpkdd/1998/bensusan1998ecml-god/}
}