This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/22747
Description
Title
Knowledge-guided constructive induction
Author(s)
Donoho, Steven Kirk
Issue Date
1996
Doctoral Committee Chair(s)
Rendell, Larry A.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Artificial Intelligence
Computer Science
Language
eng
Abstract
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
