完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Horng, Yih-jen | |
| dc.contributor.author | Lee, Chia-Hoang | |
| dc.contributor.author | Chen, Shyi-Ming | |
| dc.date.accessioned | 2009-08-23T04:47:12Z | |
| dc.date.accessioned | 2020-05-29T06:16:10Z | - |
| dc.date.available | 2009-08-23T04:47:12Z | |
| dc.date.available | 2020-05-29T06:16:10Z | - |
| dc.date.issued | 2006-10-13T09:42:28Z | |
| dc.date.submitted | 2001-12-20 | |
| dc.identifier.uri | http://dspace.fcu.edu.tw/handle/2377/1267 | - |
| dc.description.abstract | In this paper, we present a new learning method to construct decision trees from training instances for handling classification problems. The decision trees constructed by the proposed method can be much smaller than the ones constructed by the ID3 algorithm. The proposed method is better than the ID3 algorithm when noise or coincidental regularities exist in the training instances. | |
| dc.description.sponsorship | 中國文化大學,台北市 | |
| dc.format.extent | 10p. | |
| dc.format.extent | 159733 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | zh_TW | |
| dc.relation.ispartofseries | 2001 NCS會議 | |
| dc.subject | ID3 Algorithm | |
| dc.subject | Classification Problems | |
| dc.subject | Decision Trees | |
| dc.subject | Instance-Based Learning | |
| dc.subject | Overfitting Problems | |
| dc.subject.other | General AI | |
| dc.title | A New Method to Construct Decision Trees form Training Instances | |
| 分類: | 2001年 NCS 全國計算機會議 | |
文件中的檔案：
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ce07ncs002001000040.pdf | 155.99 kB | Adobe PDF | 檢視/開啟 |
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