Robotics & Machine Learning Daily News2024,Issue(Jun.11) :29-30.

Studies from University of Montana Yield New Information about Machine Learning (Machine Learning Allows for Large-scale Habitat Prediction of a Wide-ranging Ca rnivore Across Diverse Ecoregions)

蒙大拿大学的研究产生了关于机器学习的新信息(机器学习允许对跨越不同生态区域的大范围的栖息地进行大规模的预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :29-30.

Studies from University of Montana Yield New Information about Machine Learning (Machine Learning Allows for Large-scale Habitat Prediction of a Wide-ranging Ca rnivore Across Diverse Ecoregions)

蒙大拿大学的研究产生了关于机器学习的新信息(机器学习允许对跨越不同生态区域的大范围的栖息地进行大规模的预测)

扫码查看

摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx Corre Spondents来自蒙大拿州密苏拉的消息,研究表明:“资源选择函数是预测动物栖息地选择的有力工具。最近,机器学习方法如随机森林,由于其灵活性和较强的预测性能,在预测栖息地选择方面获得了广泛的应用。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Missoula, Montana, by NewsRx corre spondents, research stated, “Resource selection functions are powerful tools for predicting habitat selection of animals. Recently, machine-learning methods suc h as random forest have gained popularity for predicting habitat selection due t o their flexibility and strong predictive performance.”

Key words

Missoula/Montana/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Montana

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文