首页|Study Results from Nanjing University Broaden Understanding of Machine Learning (Rts: Learning Robustly From Time Series Data With Noisy Label)
Study Results from Nanjing University Broaden Understanding of Machine Learning (Rts: Learning Robustly From Time Series Data With Noisy Label)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Significant pr ogress has been made in machine learning with large amounts of clean labels and staticdata. However, in many real-world applications, the data often changes wi th time and it is difficult toobtain massive clean annotations, that is, noisy labels and time series are faced simultaneously.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University
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