| 標題: | 核化式適應子空間自組織映射圖於不對稱類別分佈處理 Kernel-based Adaptive Subspace Self-organizing Map for Skewed Class Distribution Problem |
| 作者: | 謝宗佑 Hsieh, Tsung-Yu 林進燈 Lin, Chin-Teng 電控工程研究所 |
| 關鍵字: | 不對稱類別分佈處理;過度取樣;核化方法;適應子空間自組織映射圖;skewed class distribution problem;imbalance learning;oversampling algorithm;kernel method;adaptive subspace self-organizing map (ASSOM) |
| 公開日期: | 2015 |
| URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT070260015 http://hdl.handle.net/11536/126714 |
| Appears in Collections: | Thesis |
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- 支持向量模糊類神經網路及其在資料分類和函數近似之應用 / 葉長茂;Chang-Mao Yeh;林進燈;Chin-Teng Lin
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- An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines / Li, Cheng-Hsuan;Ho, Hsin-Hua;Liu, Yu-Lung;Lin, Chin-Teng;Kuo, Bor-Chen
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