๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Reduced twin support vector regression

โœ Scribed by Mittul Singh; Jivitej Chadha; Puneet Ahuja; Jayadeva; Suresh Chandra

Book ID
104065219
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
221 KB
Volume
74
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Reducing examples to accelerate support
Reducing examples to accelerate support vector regression
โœ Gao Guo; Jiang-She Zhang ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 421 KB

With increasing of the number of training examples, training time for support vector regression machine augments greatly. In this paper we develop a method to cut the training time by reducing the number of training examples based on the observation that support vector's target value is usually a lo

Support vector fuzzy regression machines
Support vector fuzzy regression machines
โœ Dug Hun Hong; Changha Hwang ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 289 KB

Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems. In this paper, we introduce the use of SVM for multivariate fuzzy linear and nonlinear regression models. Using the basic idea underlying SVM for multivariate fuzzy regressions gives comput