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University of Illinois at Urbana-Champaign

On the Learnability of Disjunctive Normal Form Formulas and Decision Trees

Abstract

dc:description

The learnability of disjunctive normal form formulas and decision trees is investigated. Polynomial time algorithms are given, and nonlearnability results are obtained, for restricted versions of these general learning problems.

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
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Aizenstein, Howard Jay
Contributors dc:contributor
  • Pitt, L.,

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
Identifier
(UMI)AAI9328958
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/72083

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

Aizenstein, Howard Jay. On the Learnability of Disjunctive Normal Form Formulas and Decision Trees. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/72083