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University of Illinois at Urbana-Champaign

Explanation-Based Learning via Constraint Posting and Propagation

Abstract

dc:description

Researchers in a new subfield of Machine Learning called Explanation-Based Learning have begun to utilize explanations as a basis for powerful learning strategies. The fundamental idea is that explanations can be used to focus on essentials and to strip away extraneous details--obviating the need to search for generalizations based on similarities and differences among large numbers of examples.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Date dc:date
10000-01-01

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • O'Rorke, Paul Vincent

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8711844
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/72054

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

O'Rorke, Paul Vincent. Explanation-Based Learning via Constraint Posting and Propagation. Dissertation thesis, University of Illinois at Urbana-Champaign, http://hdl.handle.net/2142/72054