首页|Researchers’ Work from Shenzhen University Focuses on Support Vector Machines (S upport Vector Machine With Discriminative Low-rank Embedding)
Researchers’ Work from Shenzhen University Focuses on Support Vector Machines (S upport Vector Machine With Discriminative Low-rank Embedding)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Support Vector Machines are discussed in a new report. According to newsreporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Support vectormachine (SVM) is a binary classifier widely used in machine learning. However, neglectin g the latent datastructure in previous SVM can limit the performance of SVM and its extensions.”Financial supporters for this research include Shenzhen Municipal Science and Te chnology InnovationCouncil, National Natural Science Foundation of China (NSFC) .
ShenzhenPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesShenzhen University
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