Learning Two-Tiered Descriptions of Flexible Concepts: A Method Employing Examples of Varied Typicality and A Two-staged Construction of the Base Concept Representation Part I: Principles and Methodology

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dc.contributor.authorBergadano, Francesco
dc.contributor.authorMatwin, Stan
dc.contributor.authorMichalski, Ryszard S.
dc.contributor.authorZhang, Jianping
dc.date.accessioned2006-11-09T20:56:32Z
dc.date.available2006-11-09T20:56:32Z
dc.date.issued1988-11
dc.format.extent1499658 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationBergadano, F., Matwin, S., Michalski, R. S. and Zhang, J., "Learning Two-Tiered Descriptions of Flexible Concepts: A Method Employing Examples of Varied Typicality and A Two-staged Construction of the Base Concept Representation Part I: Principles and Methodology," Reports of the Machine Learning and Inference Laboratory, MLI-88-6, School of Information Technology and Engineering, George Mason University, Fairfax, VA, November 1988.
dc.identifier.urihttps://hdl.handle.net/1920/1624
dc.language.isoen_US
dc.relation.ispartofseriesP 88-19
dc.relation.ispartofseriesMLI 88-6
dc.titleLearning Two-Tiered Descriptions of Flexible Concepts: A Method Employing Examples of Varied Typicality and A Two-staged Construction of the Base Concept Representation Part I: Principles and Methodology
dc.typeTechnical report

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