| 示例学习的扩张图方法 |
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| 引用本文： | 郭茂祖,洪家荣.示例学习的扩张图方法[J].哈尔滨工业大学学报,1998,30(1):65-67,72. |
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| 作者姓名： | 郭茂祖 洪家荣 |
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| 作者单位： | 哈尔滨工业大学计算机科学与工程系计算机应用软件教研室 |
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| 摘 要： | 提出示例学习的一种几何理论，即扩张图方法，应用该方法得了最优覆盖问题的近似解，该方法直观，清晰，并具有渐近式学习功能。
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| 关 键 词： | 示例学习 扩张图 渐近式学习 机器学习 专家系统 |
The Extension Graph Approach of Learning from Examples |
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| Guo Maozu Hong Jiarong.The Extension Graph Approach of Learning from Examples[J].Journal of Harbin Institute of Technology,1998,30(1):65-67,72. |
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| Authors: | Guo Maozu Hong Jiarong |
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| Affiliation: | Dept. of Computer Science and Engineering |
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| Abstract: | A new geometric theory of learning from examples, the extension graph (EG) ap- proach, is presented and has been used to give an approximate solution to the minimal covers (MCV)problem. EG, a straightforward and distinct approach, has also the capability of incremental learning. |
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| Keywords: | Learning from examples: extension graph incremental learning: concept acquisition |
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