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University of Illinois at Urbana-Champaign

Explanation-Based Approach to Incorporating Domain Knowledge Into Support Vector Machine: Theory and Applications

Abstract

dc:description

We also present the comparison of the three proposed approaches, discuss about the related work, and point out some future work. We believe this work provide a first step towards a new research area in machine learning.

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
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sun, Qiang
Contributors dc:contributor
  • Gerald DeJong

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3202174
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81707

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

Sun, Qiang. Explanation-Based Approach to Incorporating Domain Knowledge Into Support Vector Machine: Theory and Applications. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81707