Chaos as an interpretable benchmark for forecasting and data-driven modelling

William Gilpin. Chaos as an interpretable benchmark for forecasting and data-driven modelling. In Joaquin Vanschoren, Sai Kit Yeung, editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual. 2021. [doi]

Abstract

Abstract is missing.