"Explanation-Based Learning"
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{'SignBlockName': 'Jolita D. Middleton', 'PO_EMAI': None, 'PO_PHON': None}
This research continues work on knowledge-intensive systems for           machine learning.  The approach taken, Explanation Based Learning, is           expanded from small "clean" problems here into more complex domains.            In such complex domains, an automated learning system will inevitably           acquire incorrect concepts. Inference will not be logically complete,           but only plausible. Research is targeted toward detecting and refining          such concepts when they cause performance failures.                                   The significance of this work is that it expands machine learning         capabilities attack more realistic problems, and offers a promising             avenue of solution to the problem of knowledge acquisition in expert            systems, since an EBL system derives its own "rules" rather than needing        them to be specified and programmed by a human intermediary.
{'FirstName': 'Gerald', 'LastName': 'DeJong', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gerald F DeJong', 'EmailAddress': 'mrebl@uiuc.edu', 'PI_PHON': '2173330491', 'NSF_ID': '000390888', 'StartDate': '06/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '6856', 'Text': 'ARTIFICIAL INTELL & COGNIT SCI'}
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