ASIA unversity:Item 310904400/4709
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    题名: Trade-off between requirement of learning and computational cost
    作者: T. P. Hong;C. H. Wang;S. S. Tseng
    贡献者: Department of Information Science and Applications
    日期: 1998
    上传时间: 2009-11-30 08:03:13 (UTC+0)
    出版者: Asia University
    摘要: Machine learning in real-world situations sometimes starts from an initial collection of training instances; learning then proceeds off and on as new training instances come intermittently. The idea of two-phase learning has then been proposed here for effectively solving the learning problems in which training instances come in this two-stage way. Four two-phase learning algorithms based on the learning method PRISM have also been proposed for inducing rules from training instances. These alternatives form a spectrum, showing achievement of the requirement of PRISM (keeping down the number of irrelevant attributes) heavily dependent on the spent computational cost. The suitable alternative, as a trade-off between computational costs and achievement to the requirements, can then be chosen according to the request of the application domains.
    關聯: IEICE TRANSACTIONS on Information and Systems E81-D(6):565-571
    显示于类别:[行動商務與多媒體應用學系] 期刊論文

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