A simple illustration of interleaved learning using Kalman filter for linear least squares

A simple illustration of interleaved learning using Kalman filter for linear least squares

Interleaved learning in machine learning algorithms is a biologically inspired training method with promising results. In this short note, we illustrate the interleaving mechanism via a simple statistical and optimization framework based on Kalman Filter for Linear Least Squares.

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Veröffentlicht in:Results in applied mathematics 2023-11, Vol.20, p.None-None, Article 100409
Hauptverfasser: John, Majnu, Wu, Yihren
Format: Artikel
Sprache:eng
Schlagworte:
Interleaved learning
Kalman filter
Linear least squares
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Zusammenfassung:Interleaved learning in machine learning algorithms is a biologically inspired training method with promising results. In this short note, we illustrate the interleaving mechanism via a simple statistical and optimization framework based on Kalman Filter for Linear Least Squares.
ISSN:2590-0374
2590-0382
2590-0374
DOI:10.1016/j.rinam.2023.100409