Selection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11

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dc.contributor.authorMichalski, Ryszard S.
dc.contributor.authorLarson, James B.
dc.date.accessioned2006-11-07T22:20:49Z
dc.date.available2006-11-07T22:20:49Z
dc.date.issued1978-05
dc.description.sponsorshipThis work was supported in part by a National Science Foundation Grant NSF MCS 76-22940 and in part by a Senior Visiting Fellowship from British Science Research Council.
dc.format.extent17670834 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationMichalski, R. S. and Larson, J., "Selection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11," Report No. 867, Department of Computer Science, University of Illinois, Urbana, May 1978.
dc.identifier.urihttps://hdl.handle.net/1920/1544
dc.language.isoen_US
dc.relation.ispartofseriesP 78-3
dc.titleSelection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11
dc.typeTechnical report

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Machine Learning and Inference Laboratory, College of Public Health