首页|New Support Vector Machines Study Findings Reported from Lanzhou University of T echnology (Identification of Market Power Abuse In Chinese Electricity Market Ba sed On an Improved Costsensitive Support Vector Machine)
New Support Vector Machines Study Findings Reported from Lanzhou University of T echnology (Identification of Market Power Abuse In Chinese Electricity Market Ba sed On an Improved Costsensitive Support Vector Machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Support Vector Machin es have been presented. According to news reporting originating from Lanzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate a nd real-time identification of market power abuse is a key task in the managemen t of electricity market violations. However, there are few effective monitoring methods for extremely imbalanced datasets and progressively increasing amounts o f data in actual market transactions.” Funders for this research include National Natural Science Foundation of China ( NSFC), Gansu Provincial Science and Technology Program, Gansu Education Departme nt: Postgraduate “Innovation Star” Project.
LanzhouPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesLanzhou University of Technology
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