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1 to 10 of 1,027 Results
Count Data for Sui Jingji zhi 隋經籍志, Hanshu Yiwen zhi 漢書藝文誌 and Bianzheng lun 辯正論
May 19, 2026 - Michael STANLEY-BAKER
Stanley-Baker, Michael, 2026, "Count Data for Sui Jingji zhi 隋經籍志, Hanshu Yiwen zhi 漢書藝文誌 and Bianzheng lun 辯正論", https://doi.org/10.21979/N9/MVPBRH, DR-NTU (Data), V2, UNF:6:qHIwT1Q3h1MPKit7FE/olg== [fileUNF]
Count of titles in two imperial bibliographies and a Daoist Catalogue. Statistical evidence for distribution of knowledge types in the three works.
Analysis.of.Sui-Jingjizhi_Hanshu_Bianzheng-lun.tab
May 19, 2026 - Count Data for Sui Jingji zhi 隋經籍志, Hanshu Yiwen zhi 漢書藝文誌 and Bianzheng lun 辯正論
Tabular Data - 14.8 KB - 6 Variables, 255 Observations - UNF:6:qHIwT1Q3h1MPKit7FE/olg==
Analysis and Calculation of Daoist and Buddhist Texts in Imperial and other Catalogues
Feedback system in NTU: A student-faculty collaboration
Jan 16, 2026 - Irda NALLS
Nalls, Irda; Leong, Alvin Ping; Hsieh, Yi-Chin, 2026, "Feedback system in NTU: A student-faculty collaboration", https://doi.org/10.21979/N9/J253AI, DR-NTU (Data), V1
This video demonstrates to students what an effective and constructive feedback on teaching look like. Following the acronym, SFT, it suggests 3 components to consider when providing feedback. Students are encouraged to describe the situation, consider their feeling, and provide...
Feedback for NTU -- SFT System.mp4
Jan 16, 2026 - Feedback system in NTU: A student-faculty collaboration
MPEG-4 Video - 21.9 MB - MD5: af66550776335e1f156f1332bb354fa3
Jupyter notebooks
Oct 17, 2025 - Dennis Zhiming TAY
Tay, Dennis Zhiming, 2025, "Jupyter notebooks", https://doi.org/10.21979/N9/HH24MK, DR-NTU (Data), V1
Jupyter notebooks for NLP downstream tasks
20newsgroup_model.ipynb
Oct 17, 2025 - Jupyter notebooks
Jupyter Notebook - 4.1 MB - MD5: 3cbd6402fe10da2f9c0f61644609a101
AE_CLUSTER_CHINESE.ipynb
Oct 17, 2025 - Jupyter notebooks
Jupyter Notebook - 1.1 MB - MD5: 461a9f4873de0223dc2c787e6065e397
AE_CLUSTER.ipynb
Oct 17, 2025 - Jupyter notebooks
Jupyter Notebook - 2.4 MB - MD5: 050ed1fca1e6e10ebdf96e751bbe0de8
hatexplain_model.ipynb
Oct 17, 2025 - Jupyter notebooks
Jupyter Notebook - 5.0 MB - MD5: 73587d213c422884528130fa0c0323b9
IMDB_Model.ipynb
Oct 17, 2025 - Jupyter notebooks
Jupyter Notebook - 4.0 MB - MD5: 2d1702cb367cf325f5fa7a07c86a8a06
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