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2017-04-18(二),主講人:宗福季 教授 (Hong Kong Univ. of Science & Technology)


統 計 學 研 究 所

專 題 演 講


講 題: Statistical Transfer Learning with Application to Statistical Process Control
演講者: 宗福季 教授 (Hong Kong Univ. of Science & Technology)
時 間: 106年04月18日(星期二)13:20 - 14:40  (14:40 - 15:00 茶會於統計所821室舉行)
地 點: 綜合三館837室
摘 要:

Rapid development of information technology, together with advances in sensory and data acquisition techniques, brings increasing necessity to handle datasets from various sources. In recent years, transfer learning has emerged as an effective framework to combine information from multiple domains and tackle related tasks in target domains by transferring previous-acquired knowledge from source domains. In transfer learning, statistical models and methodologies are widely involved and play a critical role, which, however, is not particularly emphasized in literature. In this talk, I will review transfer learning techniques with a focus on statistical models and statistical methodologies, demonstrating how statistics helps to conduct transfer learning in various scenarios. After that, I will highlight some research opportunities to extend transfer learning applications to statistical process control.


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