Complexity-calibrated benchmarks for machine learning reveal when prediction algorithms succeed and mislead

Recurrent neural networks are used to forecast time series in finance, climate, language, and from many other domains. Reservoir computers are a particularly easily trainable form of recurrent neural network. Recently, a “next-generation” reservoir computer was introduced in which the memory trace i...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 8727 - 11
Hauptverfasser:	Marzen, Sarah E., Riechers, Paul M., Crutchfield, James P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 16.04.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/766/259 639/766/530 Benchmarks Computers Humanities and Social Sciences Information theory and computation Machine learning MATHEMATICS AND COMPUTING multidisciplinary Neural networks Reservoirs Science Science & Technology Science (multidisciplinary) Statistical physics, thermodynamics and nonlinear dynamics
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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