Robotics & Machine Learning Daily News2024,Issue(Jun.10) :21-21.

New Findings from University of Michigan in the Area of Machine Learning Describ ed (Andez: an Open-source Tool for Author Name Disambiguation Using Machine Learning)

密歇根大学在机器学习领域的新发现被描述(Andez:一个使用机器学习消除作者姓名歧义的开源工具)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :21-21.

New Findings from University of Michigan in the Area of Machine Learning Describ ed (Andez: an Open-source Tool for Author Name Disambiguation Using Machine Learning)

密歇根大学在机器学习领域的新发现被描述(Andez:一个使用机器学习消除作者姓名歧义的开源工具)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中提供。根据NewsRx记者从密歇根州安娜堡发回的新闻报道,研究表明:“由于不同作者的名字相同,作者的名字也不同,书目数据中的作者名消歧具有挑战性。各种机器学习(ML)方法解决了HIS问题,但缺乏统一的比较框架。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Author name disambiguation in bibliographic data is challenging due to the same names of different authors and name variations of authors. Various machine learning (ML) methods address t his, but a unified framework for comparing them is lacking.”

Key words

Ann Arbor/Michigan/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Michigan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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