摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx编辑在中国广东的新闻报道，研究表明：“不平衡的学习是数据挖掘和机器学习领域最艰巨的挑战之一。尽管过去几十年研究不断取得进展，但学习不平衡的类分布的ROM数据仍然是一个令人信服的研究。”本研究的资助单位包括国家自然科学基金(NSFC)、国家重点研究开发计划、中国PCL重点项目、国家自然科学基金(NSFC)、南京大学。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Guangdong, People’s Republic of China, by NewsRx editors, research stated, “Imbalanced learning cons titutes one of the most formidable challenges within data mining and machine lea rning. Despite continuous research advancement over the past decades, learning f rom data with an imbalanced class distribution remains a compelling research are a.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R &D Pogram of China, Major Key Project of PCL, China, National Natural Science Foundation of China (NSFC), Nanjing University.
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