East China University of Science and Technology Reports Findings in Machine Lear ning (Challenges with Literature-Derived Data in Machine Learning for Yield Pred iction: A Case Study on Pd-Catalyzed Carbonylation Reactions)
East China University of Science and Technology Reports Findings in Machine Lear ning (Challenges with Literature-Derived Data in Machine Learning for Yield Pred iction: A Case Study on Pd-Catalyzed Carbonylation Reactions)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Theapplication of m achine learning (ML) to predict reaction yields has shown remarkable accuracy wh enbased on high-throughput computational and experimental data. However, the ac curacy significantlydiminishes when leveraging literature-derived data, highlig hting a gap in the predictive capability of thecurrent ML models.”
Key words
Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning
NETL
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