A simple illustration of interleaved learning using Kalman filter for linear least squares.
Interleaved learning
Kalman filter
Linear least squares
Journal
Results in applied mathematics
ISSN: 2590-0374
Titre abrégé: Results Appl Math
Pays: Netherlands
ID NLM: 9918733283106676
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
21
09
2023
accepted:
03
11
2023
medline:
22
12
2023
pubmed:
22
12
2023
entrez:
22
12
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 38131008
doi: 10.1016/j.rinam.2023.100409
pii: S2590-0374(23)00055-9
pmc: PMC10734634
doi:
Types de publication
Journal Article
Langues
eng
Pagination
NoneInformations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
None.