Researchers’ Work from University of Electronic Science and Technology of China Focuses on Machine Learning (A New Matrix Feature Selection Strategy In Machine Learning Models for Certain Krylov Solver Prediction)

Robotics & Machine Learning Daily News2024，Issue(Aug.1) ：48-49.

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Researchers’ Work from University of Electronic Science and Technology of China Focuses on Machine Learning (A New Matrix Feature Selection Strategy In Machine Learning Models for Certain Krylov Solver Prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting originatingfrom Chengdu, People’s Repub lic of China, by NewsRx correspondents, research stated, “Numericalsimulation p rocesses in scientific and engineering applications require efficient solutions of large sparselinear systems, and variants of Krylov subspace solvers with var ious preconditioning techniques have beendeveloped. However, it is time-consumi ng for practitioners with trial and error to find a high-performanceKrylov solv er in a candidate solver set for a given linear system.”

Key words

Chengdu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Electronic Sc ience and Technology of China

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出版年

2024

Robotics & Machine Learning Daily News

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