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Simple Local Models for Complex Dynamical Systems

Conference Paper Artificial Intelligence ยท Machine Learning

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. "

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
589456303686939072
v2026.09.13