Real-Time Construction of Optimized Predictors from Data Streams

Frank Kwasniok and Leonard A. Smith
Phys. Rev. Lett. 92, 164101 – Published 23 April 2004

Abstract

A new approach to the construction and optimization of local models is proposed in the context of data streams, that is, unlimited sources of data where the utilization of all observations is impractical. Real-time revision of the learning set allows selective coverage of regions in state space which contribute most to reconstructing the underlying dynamical system.

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  • Received 13 May 2003

DOI:https://doi.org/10.1103/PhysRevLett.92.164101

©2004 American Physical Society

Authors & Affiliations

Frank Kwasniok and Leonard A. Smith

  • Department of Statistics, London School of Economics, London, United Kingdom

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Issue

Vol. 92, Iss. 16 — 23 April 2004

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