| 来源类型 | Book Section
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| DOI | 10.1109/CAIA.1991.120846
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| ALEX: automatic learning in expert systems. |
| Winkelbauer L; Fedra K
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| 发表日期 | 1991
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| 出处 | Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application. pp. 59-62 Piscataway, NJ, United States: IEEE. DOI: 10.1109/CAIA.1991.120846 .
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| 出版年 | 1991
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| 语种 | 英语
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| 摘要 | An environment for automatic learning (ALEX) has been designed and implemented in a modular fashion. The system consists of an example generation module (i.e., tutor software system representing the application domain); the learning subsystem; an analysis component; and the user interface and control structure integrating these components. As the core of the learning subsystem the incremental learning algorithm ID-H has been developed, based on the incremental application of hybrid clustering. To improve the overall performance of the learning environment, a feedback loop between the results of a learning step and the input of the next learning step has been introduced. The learning environment can automatically direct its learning strategy according to its assessment of its performance |
| URL | http://pure.iiasa.ac.at/id/eprint/13612/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/133262
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推荐引用方式
GB/T 7714 |
Winkelbauer L,Fedra K. ALEX: automatic learning in expert systems.. 1991.
|
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