| 示例学习的广义扩张矩阵算法及其实现 |
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| 引用本文： | 赵美德,李星原.示例学习的广义扩张矩阵算法及其实现[J].计算机学报,1994,17(9):703-707. |
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| 作者姓名： | 赵美德 李星原 |
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| 作者单位： | 哈尔滨工业大学计算机科学与工程系 |
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| 摘 要： | 本文对扩张矩阵理论加以扩充，提出关于公式的扩张矩阵的概念，并据此实现一个广义扩张矩阵算法叫做ＡＥ９，本文还将ＡＥ９和ＡＱ１５应用于几个实际领域的学习问题，如睡眠状态的分类，手写数字识别等，结果都表明ＡＥ９比ＡＱ１５分类精度更高。
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| 关 键 词： | 示例学习 知识获取 扩张矩阵 |
A GENERALIZED EXTENSION MATRIX ALGORITHM OF LEARNING FROM EXAMPLES AND ITS IMPLEMENTATION |
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| Zhao Meide,Li Xingyuan, Hong Jiarong and Chen Bin.A GENERALIZED EXTENSION MATRIX ALGORITHM OF LEARNING FROM EXAMPLES AND ITS IMPLEMENTATION[J].Chinese Journal of Computers,1994,17(9):703-707. |
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| Authors: | Zhao Meide Li Xingyuan Hong Jiarong and Chen Bin |
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| Abstract: | In order to optimize extension matrix algorithm,this paper presents a new version of the extension matrix algorithm called AE9.To make a comparison with AQ15,AE9 is tested for several real-world problems,such as learning the decision rules of human sleep stages,and learning the classification rules of unconstrained handwritten numerals. The results show that AE9 is always more accurate than AQ15. |
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| Keywords: | Learning form examples knowledge acquisition extension matrix |
| 本文献已被 CNKI 维普 等数据库收录！ |
