首页|Findings from Hainan University in the Area of Support Vector Machines Described (Large-scale Structured Output Classification Via Multiple Structured Support V ector Machine By Splitting)
Findings from Hainan University in the Area of Support Vector Machines Described (Large-scale Structured Output Classification Via Multiple Structured Support V ector Machine By Splitting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Support Vector Machines are presented in a new report. According to news reporting from Haikou, People’s Republic of China, by NewsRx journalists, research stated, “Structured support vector machine (SSVM) is an effective method on coping with problems involving c omplex outputs such as multiple dependent output variables and structured output spaces. However, its training process is very time consuming for large-scale da ta with complex structure and many classes.”
HaikouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machi nesHainan University
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