首页|Findings on Machine Learning Reported by Investigators at Renmin University (Regularized Optimal Transport Layers for Generalized Global Pooling Operations)
Findings on Machine Learning Reported by Investigators at Renmin University (Regularized Optimal Transport Layers for Generalized Global Pooling Operations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Global pooling is one of the most significant operations in many machine learning models and tasks, which works for information fusion and structured data (like sets and graphs) representation. However, without solid mathematical fundamentals, its practical implementations often depend on empirical mechanisms and thus lead to sub-optimal, even unsatisfactory performance.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), CAAI-Huawei MindSpore Open Fund, Fundamental Research Funds for the Central Universities, Research Funds of Renmin University of China, Beijing Key Laboratory of Big Data Management, Major Innovation & Planning Interdisciplinary Platform for the “Double-First Class” Initiative.
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRenmin University
NETL
NSTL
IEEE
