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The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide

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dc.contributor.author Michalski, Ryszard S.
dc.contributor.author Kaufman, Kenneth A.
dc.date.accessioned 2006-11-03T18:17:11Z
dc.date.available 2006-11-03T18:17:11Z
dc.date.issued 2001-03 en_US
dc.identifier.citation Michalski, R. S. and Kaufman, K., "The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 01-2, George Mason University, Fairfax, VA, 2001. en_US
dc.identifier.uri https://hdl.handle.net/1920/1472
dc.description.sponsorship Research on the development of the AQ methodology and AQ programs has been conducted in the Machine Learning and Inference Laboratory at George Mason University and previously at the Artificial Intelligence Laboratory at the University of Illinois at Champaign-Urbana. Recent research was supported in part by the National Science Foundation under Grants No. IIS-9906858 and IIS-9904078, in part by the Office of Naval Research under Grant No. N00014-91-J-1351, in part by the Defense Advanced Research Projects Agency under Grant No. N00014-91-J-1854, administered by the Office of Naval Research, and Grant No. F49620-92-J-0549 administered by the Air Force Office of Scientific Research, and in part by the grant LUCITE Task #32 with the University of Maryland, Baltimore County. en_US
dc.format.extent 1846 bytes
dc.format.extent 618385 bytes
dc.format.extent 208381 bytes
dc.format.mimetype text/xml
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.relation.ispartofseries MLI 01-2 en_US
dc.relation.ispartofseries P 01-1 en_US
dc.title The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide en_US
dc.type Technical report en_US


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