Robotics & Machine Learning Daily News2024,Issue(Jun.13) :94-94.

Researchers from University of Wisconsin Madison Report New Studies and Findings in the Area of Machine Learning (Plasmodata. jl - a Julia Framework for Modeling and Analyzing Complex Data As Graphs)

威斯康星大学麦迪逊分校的研究人员报告了机器学习(Plasmodata)领域的新研究和发现。jl——复杂数据建模和分析的Julia框架

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :94-94.

Researchers from University of Wisconsin Madison Report New Studies and Findings in the Area of Machine Learning (Plasmodata. jl - a Julia Framework for Modeling and Analyzing Complex Data As Graphs)

威斯康星大学麦迪逊分校的研究人员报告了机器学习(Plasmodata)领域的新研究和发现。jl——复杂数据建模和分析的Julia框架

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摘要

机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器学习的最新研究结果已经发表。根据NewsRx Jou Rnists在威斯康辛州麦迪逊的新闻报道,研究表明,“科学和工程应用中遇到的数据集以复杂的格式出现(例如,图像、多变量时间序列、分子、视频、文本串、网络)。图论提供了一个统一的框架模型来建模这些数据集,并允许使用强大的工具来帮助分析、可视化和从数据中提取价值。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Madison, Wisconsin, by NewsRx jou rnalists, research stated, “Datasets encountered in scientific and engineering a pplications appear in complex formats ( e.g. , images, multivariate time series, molecules, video, text strings, networks). Graph theory provides a unifying fra mework to model such datasets and enables the use of powerful tools that can hel panalyze, visualize, and extract value from data.”

Key words

Madison/Wisconsin/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Mathemat ical Theories/University of Wisconsin Madison

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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