Synergy of Monotonic Rules
Abstract
This article describes a method for constructing a special rule (we call it synergy rule) that uses as its input information the outputs (scores) of several monotonic rules which solve the same pattern recognition problem. As an example of scores of such monotonic rules we consider here scores of SVM classifiers.
Cite
Text
Vapnik and Izmailov. "Synergy of Monotonic Rules." Journal of Machine Learning Research, 2016.Markdown
[Vapnik and Izmailov. "Synergy of Monotonic Rules." Journal of Machine Learning Research, 2016.](https://mlanthology.org/jmlr/2016/vapnik2016jmlr-synergy/)BibTeX
@article{vapnik2016jmlr-synergy,
title = {{Synergy of Monotonic Rules}},
author = {Vapnik, Vladimir and Izmailov, Rauf},
journal = {Journal of Machine Learning Research},
year = {2016},
pages = {1-33},
volume = {17},
url = {https://mlanthology.org/jmlr/2016/vapnik2016jmlr-synergy/}
}