| 来源类型 | Book Section |
| DOI | 10.1007/3-540-54535-2_40 |
| Adaptive learning using a qualitative feedback loop. | |
| Winkelbauer L; Stary C | |
| 发表日期 | 1991 |
| 出处 | EPIA 91. pp. 278-292 Germany: Springer Berlin/Heidelberg. ISBN 978-3-540-38459-5 DOI: 10.1007/3-540-54535-2_40 . |
| 出版年 | 1991 |
| 语种 | 英语 |
| 摘要 | Most of the example-based learning algorithms developed so far are limited by the fact that they learn unidirectionally, i.e., they just transform the presented examples into a fixed internal representation form and do not adapt their learning strategy according to the results of this transformation process. Only a few learning algorithms incorporate such a feedback from an evaluation of the learned problem representation to the input for the next learning step. But all those rely on quantitative evaluation of the problem representation only, qualitative criteria are always neglected. |
| 主题 | Advanced Computer Applications (ACA) |
| URL | http://pure.iiasa.ac.at/id/eprint/13077/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/133256 |
| 推荐引用方式 GB/T 7714 | Winkelbauer L,Stary C. Adaptive learning using a qualitative feedback loop.. 1991. |
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