一种将归纳学习与基于范例的学习相结合的方法

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Pub Date : 1990-11-06 DOI:10.1109/TAI.1990.130306

J. Zhang

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引用次数: 18

摘要

描述了一种将归纳学习与基于范例的学习相结合的学习方法。在该方法中，一个概念由两部分表示:一个广义的抽象描述和一组范例(例外)。广义描述代表概念的原则，而范例代表例外或罕见的情况。该方法是解决小分离问题和表示具有不精确和不规则边界的概念的一种替代方法。在柔性概念学习系统中实现了归纳学习和基于范例学习相结合的方法。实验表明，该组合方法在三个自然域上的性能与AQ16和ASSISTANT相当。

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A method that combines inductive learning with exemplar-based learning

A learning approach that combines inductive learning with exemplar-based learning is described. In the method, a concept is represented by two parts: a generalized abstract description and a set of exemplars (exceptions). Generalized descriptions represent the principles of concepts, whereas exemplars represent the exceptional or rare cases. The method is an alternative for solving the problem of small disjuncts and for representing concepts with imprecise and irregular boundaries. The method for combining inductive learning and exemplar-based learning has been implemented in the flexible concept learning system. Experiments showed that the combined method has comparable performance to that of AQ16 and ASSISTANT in three natural domains.<>

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来源期刊

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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