首页|Reports from Guangdong University of Technology Describe Recent Advances in Support Vector Machines (A New Multi-view Multilabel Model With Privileged Information Learning)
Reports from Guangdong University of Technology Describe Recent Advances in Support Vector Machines (A New Multi-view Multilabel Model With Privileged Information Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning - Support Vector Machines.According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “In multi-view multi-label learning (MVML), the data is described by multiplefeature views and annotated by a number of categorical labels. At present, most of the existing MVMLmethods are proposed based on subspace learning, neural networks and so on.”Funders for this research include National Natural Science Foundation of China (NSFC), NationalNatural Science Foundation of Guangdong Province.
GuangzhouPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesGuangdong University of Technology
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