Combining Symbolic Learning Techniques and Statistical Regression Analysis
Abstract
This paper discusses relationships between statistical modeling techniques and symbolic learning from examples, and indicates types of learning problem where a combined viewpoint may be very helpful. A novel computational approach is proposed which combines statistical modeling with a transformation procedure which maps the statistical model onto logical decision rules for the sake of domain experts' intuitions. The proposed algorithm is illustrated by working through a simple but challenging case-study on learning prognostic rules from clinical observational data.
Cite
Text
Berzuini. "Combining Symbolic Learning Techniques and Statistical Regression Analysis." AAAI Conference on Artificial Intelligence, 1988.Markdown
[Berzuini. "Combining Symbolic Learning Techniques and Statistical Regression Analysis." AAAI Conference on Artificial Intelligence, 1988.](https://mlanthology.org/aaai/1988/berzuini1988aaai-combining/)BibTeX
@inproceedings{berzuini1988aaai-combining,
title = {{Combining Symbolic Learning Techniques and Statistical Regression Analysis}},
author = {Berzuini, Carlo},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1988},
pages = {612-617},
url = {https://mlanthology.org/aaai/1988/berzuini1988aaai-combining/}
}