| dc.contributor | 統計系 | |
| dc.creator (作者) | 吳漢銘 | |
| dc.creator (作者) | Wu, Han-Ming | |
| dc.date (日期) | 2022-12 | |
| dc.date.accessioned | 26-Dec-2024 13:27:50 (UTC+8) | - |
| dc.date.available | 26-Dec-2024 13:27:50 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-Dec-2024 13:27:50 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/154914 | - |
| dc.format.extent | 1398277 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | IASC-ARS Interim Conference 2022, Education University of Hong Kong | |
| dc.subject (關鍵詞) | Convolutional neural networks; Generative adversarial networks; Recurrent neural networks; Sliced inverse regression | |
| dc.title (題名) | Improve the performance of deep learning algorithms by supervised dimension reduction methods | |
| dc.type (資料類型) | conference | |
