Simple Local Models for Complex Dynamical Systems
Abstract
We present a novel mathematical formalism for the idea of a local model,'' a model of a potentially complex dynamical system that makes only certain predictions in only certain situations. As a result of its restricted responsibilities, a local model may be far simpler than a complete model of the system. We then show how one might combine several local models to produce a more detailed model. We demonstrate our ability to learn a collection of local models on a large-scale example and do a preliminary empirical comparison of learning a collection of local models and some other model learning methods."
Cite
Text
Talvitie and Singh. "Simple Local Models for Complex Dynamical Systems." Neural Information Processing Systems, 2008.Markdown
[Talvitie and Singh. "Simple Local Models for Complex Dynamical Systems." Neural Information Processing Systems, 2008.](https://mlanthology.org/neurips/2008/talvitie2008neurips-simple/)BibTeX
@inproceedings{talvitie2008neurips-simple,
title = {{Simple Local Models for Complex Dynamical Systems}},
author = {Talvitie, Erik and Singh, Satinder P.},
booktitle = {Neural Information Processing Systems},
year = {2008},
pages = {1617-1624},
url = {https://mlanthology.org/neurips/2008/talvitie2008neurips-simple/}
}