User-requirements driven learning
| Autor: | Helge Thygesen, Jan L. Talmon, Michael Egmont-Petersen, Peter McNair, Jytte Brender, Vincent Karthaus |
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| Rok vydání: | 1995 |
| Předmět: |
Databases
Factual Computer science business.industry Expert Systems Health Informatics User requirements document Machine learning computer.software_genre Computer Science Applications User-Computer Interface Performance indicator Artificial intelligence business Classifier (UML) computer Algorithms Software |
| Zdroj: | Computer Methods and Programs in Biomedicine. 48:39-44 |
| ISSN: | 0169-2607 |
| DOI: | 10.1016/0169-2607(95)01658-g |
| Popis: | This paper describes an approach for deriving classification knowledge from databases, taking into account user preferences. These preferences especially concern the trade-off between different kinds of costs and performance indicators of the classification scheme to be developed. We analyze what knowledge, provided by the user, can be used at various stages of the machine learning process to influences the development of the classifier. We restrict ourselves in this paper mainly to the generation of classification trees. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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