Lecture Notes in Computer Science, 1998, Volume 1532/1998, 429-431, DOI: 10.1007/3-540-49292-5_55

Composing Inductive Applications Using Ontologies for Machine Learning

Akihiro Suyama, Naoya Negishi and Takahira Yamagchi

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Abstract

Recently, some community focuses on computer aided engineering inductive applications, as seen in workshops, such as AAAI98/ICML98 workshop on ‘The Methodology of Applying Machine Learning’ and ECML98 workshop on ‘Upgrading Learning to the Meta-level: Model Selection and Data Transformation‘. It is time to decompose inductive learning algorithms and organize inductive learning methods (ILMs) for reconstructing inductive learning systems. Given such ILMs, we may invent a new inductive learning system that works well to a given data set by re-interconnecting ILMs

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