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What is FReT: Simplifying Time-Series Forecasting about?

This document discusses a new algorithm called Forecasting through Recurrent Topology (FReT) that can predict time-series data without hyperparameters or parameter tuning. FReT works by constructing a distance matrix from a time series to capture topological patterns, and can forecast complex systems like chaotic attractors as well as real-world data like sensor recordings. The algorithm is shown to outperform other models like neural networks at multi-step time series forecasting.

Author

Jc Olimpiada

Language

EN