Initial Data Selection for Imbalanced Active Learning with Local Density

碩士 === 國立高雄師範大學 === 數學系 === 107 === To construct a classification system or a detection system, large amounts of labeled samples are needed. However, manual labeling is expensive and time consuming, so researchers have proposed the active learning technology. How to alleviate cost of labelling is th...

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Bibliographic Details
Main Authors: LIN, SHANG-YU, 林上宇
Other Authors: YEH, YI-REN
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/8eeyfa