首页|Data on Machine Learning Discussed by Researchers at Technical University Munich (TU Munich) (Leveraging Memory Effects and Gradient Information In Consensus-based Optimisation: On Global Convergence In Mean-field Law)
Data on Machine Learning Discussed by Researchers at Technical University Munich (TU Munich) (Leveraging Memory Effects and Gradient Information In Consensus-based Optimisation: On Global Convergence In Mean-field Law)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingout of Munich, Germany, by NewsRx editors, the research stated, “In this paper, we study consensus-basedoptimisation (CBO), a versatile, flexible and customisable optimisation method suitable for performingnonconvex and nonsmooth global optimisations in high dimensions. CBO is a multi-particle metaheuristic,which is effective in various applications and at the same time amenable to theoretical analysis thanks toits minimalistic design.”
MunichGermanyEuropeCyborgsEmerging TechnologiesMachine LearningTechnical University Munich (TU Munich)
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