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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Veröffentlicht in:	2021 58th ACM/IEEE Design Automation Conference (DAC) S. 7 - 12
Hauptverfasser:	Hernandez-Cano, Alejandro, Zhuo, Cheng, Yin, Xunzhao, Imani, Mohsen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Brain modeling Computational modeling Data models Machine learning algorithms Predictive models Quantization (signal) Training
Online-Zugang:	Volltext
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