2008
NeurIPS
NeurIPS 2008
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."
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Topic Pioneer
- Prediction
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Interdisciplinary Bridge
- Artificial Intelligence and Data Science & Analytics
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Trend Setter
- Multi-Task Learning
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Hot Topic Early Bird
- dynamical system
Authors
Topics
Artificial Intelligence > Core AI > Agent Systems
Machine Learning > Core Methods > Regression
Machine Learning > Core Methods > Representation Learning
Data Science & Analytics > Methods > Time Series Analysis
Machine Learning > Learning Types > Multi-Task Learning
Machine Learning > Learning Types > Ensemble Learning
Machine Learning > Core Methods > Prediction