首页|New Support Vector Machines Findings Reported from Peking University (Magnetic A nomaly Detection Method Based On Multifeatures and Support Vector Machine)
New Support Vector Machines Findings Reported from Peking University (Magnetic A nomaly Detection Method Based On Multifeatures and Support Vector Machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Support Vector Machines have been published. According to news reporting originating in Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Magnetic anomaly d etection methods for identifying concealed ferromagnetic targets have been widel y used in various fields. Enhancing detection capabilities under low signal-to-n oise ratios (SNRs) is an urgent concern.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesPeking University
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