✦ LIBER ✦

Analysis of Support Vector Machines Regression

✍ Scribed by Hongzhi Tong; Di-Rong Chen; Lizhong Peng

Publisher: Springer-Verlag
Year: 2008
Tongue: English
Weight: 524 KB
Volume: 9
Category: Article
ISSN: 1615-3375
DOI: 10.1007/s10208-008-9026-0

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Support vector fuzzy regression machines

✍ Dug Hun Hong; Changha Hwang 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 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

Relevance regression learning with suppo

Relevance regression learning with support vector machines

✍ Bruno Apolloni; Dario Malchiodi; Lorenzo Valerio 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 514 KB

Support vector interval regression netwo

Support vector interval regression networks for interval regression analysis

✍ Jin-Tsong Jeng; Chen-Chia Chuang; Shun-Feng Su 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 459 KB

In this paper, the support vector interval regression networks (SVIRNs) are proposed for the interval regression analysis. The SVIRNs consist of two radial basis function networks. One network identiÿes the upper side of data interval, and the other network identiÿes the lower side of data intervals

Semismooth support vector machines

✍ Michael C. Ferris; Todd S. Munson 📂 Article 📅 2004 🏛 Springer-Verlag 🌐 English ⚖ 204 KB

Selective support vector machines

✍ Onur Seref; O. Erhun Kundakcioglu; Oleg A. Prokopyev; Panos M. Pardalos 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 761 KB

Application of support vector machines r

Application of support vector machines regression in prediction Shanghai stock composite index

✍ Wang Dong; Wu Wen-feng 📂 Article 📅 2003 🏛 Wuhan University 🌐 English ⚖ 430 KB