首页|Study Results from Xi’an Polytechnic University Broaden Understanding of Intelli gent Systems (Sparse Semi-supervised Multi-label Feature Selection Based On Late nt Representation)
Study Results from Xi’an Polytechnic University Broaden Understanding of Intelli gent Systems (Sparse Semi-supervised Multi-label Feature Selection Based On Late nt Representation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Wit h the rapid development of the Internet, there are a large number of high-dimens ional multi-label data to be processed in real life. To save resources and time, semi-supervised multi-label feature selection, as a dimension reduction method, has been widely used in many machine learning and data mining.”
Xi’anPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningXi’an Polytechnic University
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