Robotics & Machine Learning Daily News2024,Issue(Apr.29) :52-52.

Study Data from University of Arizona Update Understanding of Machine Learning ( Spectroscopic Confirmation of Obscured Agn Populations From Unsupervised Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :52-52.

Study Data from University of Arizona Update Understanding of Machine Learning ( Spectroscopic Confirmation of Obscured Agn Populations From Unsupervised Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting out of Tucson, Arizona, by NewsRx editors, research stated, “We present the result ofa spectroscopic campa ign targeting active galactic nucleus (AGN) candidates selected using a novelun supervised machine-learning (ML) algorithm trained on optical and mid-infrared p hotometry. AGNcandidates are chosen without incorporating prior AGN selection c riteria and are fainter, redder, and morenumerous, similar to 340 AGN deg(-2), than comparable photometric and spectroscopic samples.”

Key words

Tucson/Arizona/United States/North an d Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Arizona

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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