首页|Researchers from Jilin University Report New Studies and Findings in the Area of Support Vector Machines (Global Model Selection for Semi-supervised Support Vector Machine Via Solution Paths)
Researchers from Jilin University Report New Studies and Findings in the Area of Support Vector Machines (Global Model Selection for Semi-supervised Support Vector Machine Via Solution Paths)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Support Vector Machines. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “Semisupervised support vector machine ((SVM)-V-3) is important because it can use plentiful unlabeled data to improve the generalization accuracy of traditional SVMs. In order to achi eve good performance, it is necessary for (SVM)-V-3 to take some effective measu res to select hyperparameters.”
ChangchunPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Ma chinesJilin University
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