PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Support vector regression with interval-input interval-output
Wensen An, Cecilio Angulo and Yanguang Sun
International Journal of Computational Intelligence Systems Volume 1, Number 4, pp. 299-303, 2008. ISSN 1875-6891


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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:5782
Deposited By:Cecilio Angulo
Deposited On:08 March 2010