Robotics & Machine Learning Daily News2024,Issue(Jan.3) :38-38.

Findings on Machine Learning Discussed by Investigators at Joint Institute for Nuclear Research (Machine Learning Application for Particle Identification In Mpd)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :38-38.

Findings on Machine Learning Discussed by Investigators at Joint Institute for Nuclear Research (Machine Learning Application for Particle Identification In Mpd)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting originating from Dubna, Russia, by NewsRx correspondents, research stated, “Work presentsresults of the first tests of machine learning application using gradient boosting on oblivious decisiontrees to particle identification problem in Multi Purpose Detector (MPD) experiment on Nuclotron basedIon Collider fAcility (NICA) at Joint Institute for Nuclear Research. Categorical boosting (CatBoost)implementation of a gradient boosting on decision trees has been used.”

Key words

Dubna/Russia/Cyborgs/Emerging Technologies/Machine Learning/Joint Institute for Nuclear Research

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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