Machine Learning Using Approximate Computing

Machine Learning Using Approximate Computing

Approximate computation has emerged as a promising alternative to accurate computation, particularly for applications that can tolerate some degree of error without significant degradation of the output quality. This work analyzes the application of approximate computing for machine learning, specif...

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Bibliographic Details
Main Authors: Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Journal of Low Power Electronics and Applications
Subjects:
approximate computing
arithmetic circuits
digital logic design
k-means
machine learning
low power
Online Access:https://www.mdpi.com/2079-9268/15/2/21
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