| dc.contributor | 統計系 | |
| dc.creator (作者) | 陳立榜 | |
| dc.creator (作者) | Chen, Li-Pang | |
| dc.date (日期) | 2026-03 | |
| dc.date.accessioned | 7-May-2026 16:19:37 (UTC+8) | - |
| dc.date.available | 7-May-2026 16:19:37 (UTC+8) | - |
| dc.date.issued (上傳時間) | 7-May-2026 16:19:37 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=182370 | - |
| dc.format.extent | 2280985 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | NextGen Data 2026, Lambda Research Group | |
| dc.title (題名) | Graphical Models for Ultrahigh-Dimensional and Error-Prone Data by the Boosting Algorithm | |
| dc.type (資料類型) | conference | |
