Robotics & Machine Learning Daily News2024,Issue(MAY.21) :16-16.

New Findings from Anhui University in the Area of Machine Learning Reported (Hyp ertuner: a Cross-layer Multi-objective Hyperparameter Auto-tuning Framework for Data Analytic Services)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :16-16.

New Findings from Anhui University in the Area of Machine Learning Reported (Hyp ertuner: a Cross-layer Multi-objective Hyperparameter Auto-tuning Framework for Data Analytic Services)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Hefe i, People’s Republic of China, by NewsRx correspondents, research stated, “Hyper parameters optimization (HPO) is vital for machine learning models. Besides mode l accuracy, other tuning intentions such as model training time and energy consu mption are also worthy of attention from data analytic service providers.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Anhui University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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