Comparing Learning Paradigms via Diagrammatic Visualization: A Case Study in Single Concept Learning using Symbolic, Neural Net and Genetic Algorithm Methods

dc.contributor.authorWnek, Janusz
dc.contributor.authorSarma, Jayshree
dc.contributor.authorWahab, Ashraf A.
dc.contributor.authorMichalski, Ryszard S.
dc.date.accessioned2006-11-13T20:39:07Z
dc.date.available2006-11-13T20:39:07Z
dc.date.issued1990-01
dc.format.extent790651 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationWnek, J., Sarma, J., Wahab, A. and Michalski, R. S., "Comparing Learning Paradigms via Diagrammatic Visualization: A Case Study in Single Concept Learning using Symbolic, Neural Net and Genetic Algorithm Methods," Reports of the Machine Learning and Inference Laboratory, MLI 90-2, School of Information Technology and Engineering, George Mason University, Fairfax, VA, January, 1990.
dc.identifier.urihttps://hdl.handle.net/1920/1646
dc.language.isoen_US
dc.relation.ispartofseriesP 90-2
dc.relation.ispartofseriesMLI 90-2
dc.titleComparing Learning Paradigms via Diagrammatic Visualization: A Case Study in Single Concept Learning using Symbolic, Neural Net and Genetic Algorithm Methods
dc.typeTechnical report

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