Robotics & Machine Learning Daily News2024,Issue(Nov.8) :5-5.

Research Results from Xiamen University Malaysia Update Understanding of Machine Learning (Enhanced robustness in machine learning: Application of an adaptive r obust loss function)

厦门大学马来西亚最新研究成果机器学习(增强机器鲁棒性)学习:自适应r损失函数的应用

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :5-5.

Research Results from Xiamen University Malaysia Update Understanding of Machine Learning (Enhanced robustness in machine learning: Application of an adaptive r obust loss function)

厦门大学马来西亚最新研究成果机器学习(增强机器鲁棒性)学习:自适应r损失函数的应用

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据NewsRx记者从马来西亚雪兰莪发回的新闻报道,研究称,“在机器领域”因此,损失函数的选取在确定降雨动力学和降雨强度方面起着关键作用模型的泛化能力"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from Selangor, Malaysia, by NewsRx journalists, research stated, “In the field of machinelear ning, the selection of a loss function plays a pivotal role in determining the t raining dynamics andgeneralization capability of models.”

Key words

Xiamen University Malaysia/Selangor/Ma laysia/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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