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oai:www.ideals.illinois.edu:2142/22747 2023-07-10 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Computer Science Knowledge-guided constructive induction text Rendell, Larry A. Donoho, Steven Kirk 2011-05-07T13:50:07Z 2011-05-07T13:50:07Z 10000-01-01 1996 The relationship between constructive induction and domain knowledge can be analyzed systematically. Recent research has integrated knowledge and constructive induction in isolated domains with some success, but undue emphasis is often given to the technique developed rather than the underlying phenomena. In contrast, understanding how knowledge affects a domain's constructed feature space and instance space allows us to find better techniques more easily. Three case studies (bankruptcy, turfgrass management, and promoters) demonstrate how analysis of knowledge drives development of techniques. Although knowledge in each domain has its peculiarities, general relationships may be discovered that lead to a more principled approach to incorporating knowledge into constructive induction. Made available in DSpace on 2011-05-07T13:50:07Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712259.pdf: 8080889 bytes, checksum: e4cc72be9b80bb4e18ca16f33ce12db0 (MD5) Previous issue date: 1996 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:59:43Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:28:12-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only 9780591197990 AAI9712259 (UMI)AAI9712259 http://hdl.handle.net/2142/22747 eng Copyright 1996 Donoho, Steven Kirk Artificial Intelligence Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.