首页|Recent Research from China University of Mining and Technology Highlight Findings in Support Vector Machines (Fuzzy Twin Support Vector Machines With Distributi on Inputs)
Recent Research from China University of Mining and Technology Highlight Findings in Support Vector Machines (Fuzzy Twin Support Vector Machines With Distributi on Inputs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Support Vector Machines is now available. According to news reporting originating in Jiangsu, People's Republic of China, by NewsRx journalists, research stated, “The fuzzy twin suppo rt vector machine (FTSVM) is a powerful and effective classifier due to the use of nonparallel hyperplanes and fuzzy membership functions. This article extends the FTSVM model to uncertain objects with probability distributions and proposes a distribution-input FTSVM (DFTSVM) model.”
JiangsuPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesChina University of Mining and Technology
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