𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Robust classification and regression using support vector machines

✍ Scribed by Theodore B. Trafalis; Robin C. Gilbert

Book ID
108117034
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
372 KB
Volume
173
Category
Article
ISSN
0377-2217

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Texture classification using the support
Texture classification using the support vector machines
✍ Shutao Li; James T. Kwok; Hailong Zhu; Yaonan Wang πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 515 KB

In recent years, support vector machines (SVMs) have demonstrated excellent performance in a variety of pattern recognition problems. In this paper, we apply SVMs for texture classiΓΏcation, using translation-invariant features generated from the discrete wavelet frame transform. To alleviate the pro

Support vector fuzzy regression machines
Support vector fuzzy regression machines
✍ Dug Hun Hong; Changha Hwang πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 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

New robust unsupervised support vector m
New robust unsupervised support vector machines
✍ Kun Zhao; Mingyu Zhang; Naiyang Deng πŸ“‚ Article πŸ“… 2011 πŸ› Academy of Mathematics and Systems Science, Chines 🌐 English βš– 397 KB