RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System

Machine learning (ML) algorithms are key enablers to effectively assimilate and extract information from many generated data in the Internet of Things. However, running ML algorithms often results in extremely slow processing speed and high energy consumption. To achieve real-time performance with h...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 7 - 12
Main Authors:	Hernandez-Cano, Alejandro, Zhuo, Cheng, Yin, Xunzhao, Imani, Mohsen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Brain modeling Computational modeling Data models Machine learning algorithms Predictive models Quantization (signal) Training
Online Access:	Get full text
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