Optimal stochastic gradient descent algorithm for filtering

Stochastic Gradient Descent (SGD) is a fundamental optimization technique in machine learning, due to its efficiency in handling large-scale data. Unlike typical SGD applications, which rely on stochastic approximations, this work explores the convergence properties of SGD from a deterministic persp...

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Bibliographic Details

Published in:	Digital signal processing Vol. 155; p. 104731
Main Authors:	Turali, M. Yigit, Koc, Ali T., Kozat, Suleyman S.
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.12.2024
Subjects:	Learning rate Linear filtering Optimization Stochastic gradient descent Linear filtering Stochastic gradient descent Learning rate Optimization
ISSN:	1051-2004
Online Access:	Get full text
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