首页|Findings on Support Vector Machines Reported by Investigators at Shenyang University of Technology (Learning Performance of Weighted Distributed Learning With S upport Vector Machines)
Findings on Support Vector Machines Reported by Investigators at Shenyang University of Technology (Learning Performance of Weighted Distributed Learning With S upport Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Su pport Vector Machines. According to news reporting originating from Shenyang, Pe ople's Republic of China, by NewsRx correspondents, research stated, “The divide -and-conquer strategy is a very effective method of dealing with big data. Noisy samples in big data usually have a great impact on algorithmic performance.”
ShenyangPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mac hinesShenyang University of Technology