首页|Investigators from Guizhou Normal University Report New Data on Computational In telligence (Long-tailed Classification Based On Coarse-grained Leading Forest an d Multi-center Loss)
Investigators from Guizhou Normal University Report New Data on Computational In telligence (Long-tailed Classification Based On Coarse-grained Leading Forest an d Multi-center Loss)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning - Computational Intelligence. According to news reporting originating from Guiyang, People’s Republic of China, by NewsRx correspondents, research sta ted, “Long-tailed (LT) classification is an unavoidable and challenging problem in the real world. Most existing long-tailed classification methods focus only o n solving the class-wise imbalance while ignoring the attribute-wise imbalance.” Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Guizh ou Provincia Basic Research Program (Natural Science), Youth Science And Technol ogy Talent Growth Project of Guizhou Education Department.
GuiyangPeople’s Republic of ChinaAsi aComputational IntelligenceMachine LearningGuizhou Normal University
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