首页|Findings on Machine Learning Discussed by Investigators at Joint Institute for Nuclear Research (Machine Learning Application for Particle Identification In Mpd)
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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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.”
DubnaRussiaCyborgsEmerging TechnologiesMachine LearningJoint Institute for Nuclear Research
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