Study Results from State University of New York (SUNY) Buffalo Update Understand ing of Machine Learning (Pydarwin Machine Learning Algorithms Application and Co mparison In Nonlinear Mixed-effect Model Selection and Optimization)

Robotics & Machine Learning Daily News2024，Issue(Jul.24) ：48-49.

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Study Results from State University of New York (SUNY) Buffalo Update Understand ing of Machine Learning (Pydarwin Machine Learning Algorithms Application and Co mparison In Nonlinear Mixed-effect Model Selection and Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingin Buffalo, New York, by NewsRx jou rnalists, research stated, “Forward addition/backward elimination(FABE) has bee n the standard for population pharmacokinetic model selection (PPK) since NONMEM ®was introduced. We investigated five machine learning (ML) algorithms (Geneti c algorithm [GA], Gaussianprocess [GP], random forest [RF] , gradient boosted random tree [GBRT], and particle swarm optimization[PSO]) as alt ernatives to FABE.”

Key words

Buffalo/New York/United States/North and Central America/Algorithms/Cyborgs/Emerging Technologies/Machine Learnin g/State University of New York (SUNY) Buffalo

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出版年

2024

Robotics & Machine Learning Daily News

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