Camlet: A Platform for Automatic Composition of Inductive Learning Systems Using Ontologies

机译：Camlet：使用本体自动组合归纳学习系统的平台

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Here is presented a platform for automatic composition of inductive learning systems using ontologies called CAMLET, based on knowledge modeling and ontologies engineering technique. CAMLET constructs an inductive applications with better competence to a given data set, using process and object ontologies. Afterwards, CAMLET instantiates and refines a constructed system based on the following refinement strategies: greedy alteration, random generation and heuristic alteration. Using the UCI repository of ML databases and domain theories, experimental results have shown us that CAMLET supports a user in constructing a inductive applications with best competence.

机译：这里介绍了一个基于知识建模和本体工程技术的，使用称为CAMLET的本体的归纳学习系统的自动组合平台。 CAMLET使用流程和对象本体构造对给定数据集具有更好能力的归纳应用程序。然后，CAMLET会根据以下优化策略实例化并优化构建的系统：贪婪更改，随机生成和启发式更改。使用ML数据库和领域理论的UCI存储库，实验结果向我们表明CAMLET支持用户构建具有最佳能力的归纳应用程序。

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来源
《PRICAI'98 : Topics in artificial intelligence》|1998年|205-215|共11页
会议地点 Singapore(SG);Singapore(SG)
作者
Akihiro SUYAMA; Naoya NEGISHI; Takahira YAMAGUCHI;
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School of Information, Shizuoka University 3-5-1 Johoku Hamamatsu Shizuoka, 432-8011 Japan;

School of Information, Shizuoka University 3-5-1 Johoku Hamamatsu Shizuoka, 432-8011 Japan;

School of Information, Shizuoka University 3-5-1 Johoku Hamamatsu Shizuoka, 432-8011 Japan;

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正文语种 eng
中图分类自动化系统理论;
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Camlet: A Platform for Automatic Composition of Inductive Learning Systems Using Ontologies

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