Robotics & Machine Learning Daily News2024,Issue(Jul.3) :35-35.

New Findings on Machine Learning from Peking University Summarized (Riemannian N atural Gradient Methods)

北京大学机器学习新发现综述(黎曼自然梯度法)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :35-35.

New Findings on Machine Learning from Peking University Summarized (Riemannian N atural Gradient Methods)

北京大学机器学习新发现综述(黎曼自然梯度法)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者从中华人民共和国北京发回的新闻报道,研究称:“本文研究目标函数为负对数概率损失有限和的黎曼流形上的大规模优化问题。这类问题在各种机器学习和信号处理应用中得到了广泛的应用。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “This pape r studies large-scale optimization problems on Riemannian manifolds whose object ive function is a finite sum of negative log-probability losses. Such problems a rise in various machine learning and signal processing applications.”

Key words

Beijing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Peking University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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