首页|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)
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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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.”
ChengduPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China
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