Back to results

University of Illinois at Urbana-Champaign

Probabilistic Inference: Theory and Practice (Learning, Inductive, Logic, Synthesis)

Abstract

dc:description

This thesis presents a system and a methodology for probabilistic learning from 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
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lee, Won Don

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8623352
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/69551

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

Lee, Won Don. Probabilistic Inference: Theory and Practice (Learning, Inductive, Logic, Synthesis). Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/69551