International Journal of Computational Intelligence Systems

Volume 1, Issue 4, December 2008, Pages 299 - 303

Support Vector Regression with Interval-Input Interval-Output

Authors
Wensen An, Cecilio Angulo, Yanguang Sun
Corresponding Author
Wensen An
Available Online 2 January 2009.
DOI
https://doi.org/10.2991/ijcis.2008.1.4.2How to use a DOI?
Keywords
Support vector regression, Interval-input interval-output, Uncertainties, Quadratic programming
Abstract
Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance for estimating prediction interval are presented as well.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 4
Pages
299 - 303
Publication Date
2009/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2008.1.4.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Wensen An
AU  - Cecilio Angulo
AU  - Yanguang Sun
PY  - 2009
DA  - 2009/01
TI  - Support Vector Regression with Interval-Input Interval-Output
JO  - International Journal of Computational Intelligence Systems
SP  - 299
EP  - 303
VL  - 1
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.4.2
DO  - https://doi.org/10.2991/ijcis.2008.1.4.2
ID  - An2009
ER  -