首页|Studies from Hainan University Yield New Information about Support Vector Machin es (Feature Selection By Universum Embedding)
Studies from Hainan University Yield New Information about Support Vector Machin es (Feature Selection By Universum Embedding)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Su pport Vector Machines. According to newsreporting originating from Haikou, Peop le’s Republic of China, by NewsRx correspondents, research stated,“Feature sele ction in classification is an important task in machine learning. Inspired by th e success ofUniversum support vector machine proposed by Weston et al. on impro ving the classification ability ofclassical support vector machine, this paper considers a special type of Universum and further lets it playits role in both useful feature identification and separating hyperplane construction, aiming to improveboth the feature selection ability and classification performance of Uni versum support vector machine.”
HaikouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machi nesHainan University
NETL
NSTL
