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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Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 7 - 12
Hlavní autori:	Hernandez-Cano, Alejandro, Zhuo, Cheng, Yin, Xunzhao, Imani, Mohsen
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Brain modeling Computational modeling Data models Machine learning algorithms Predictive models Quantization (signal) Training
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