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University of Illinois at Urbana-Champaign
Matters Horn and other features in the computational learning theory landscape: The notion of membership
Abstract
dc:descriptionCurrent knowledge representation research has sought to provide schemes for encoding knowledge about how a given system behaves, with the goal being accuracy and utility. Ideally, the goal of encoding knowledge is not the task of encoding, but the product of the encoding task. If such encodings are required for a variety of systems, then question of automating the process of encoding arises.
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
-
- Frazier, Michael Duane
- Contributors dc:contributor
-
- Pitt, Leonard
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- Copyright 1994 Frazier, Michael Duane
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9503189
(UMI)AAI9503189 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/21745