Robotics & Machine Learning Daily News2024,Issue(Mar.18) :89-90.DOI:10.1016/j.eswa.2023.122017

Reports from Soochow University Highlight Recent Findings in Machine Learning (P owered Stochastic Optimization With Hypergradient Descent for Large-scale Learni ng Systems)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :89-90.DOI:10.1016/j.eswa.2023.122017

Reports from Soochow University Highlight Recent Findings in Machine Learning (P owered Stochastic Optimization With Hypergradient Descent for Large-scale Learni ng Systems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “Stochastic optimization (SO) algorithms based on the Powerball function, namely powered stochastic optimization (PoweredSO) algorith ms, have been confirmed, effectively, and demonstrated great potential in the co ntext of large-scale optimization and machine learning tasks. Nevertheless, the issue of how to determine the learning rate for PoweredSO is a challenge and sti ll unsolved problem.”

Key words

Suzhou/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Stochastic Optim ization/Soochow University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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