✦ LIBER ✦

Least squares twin support vector machines for pattern classification

✍ Scribed by M. Arun Kumar; M. Gopal

Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 262 KB
Volume: 36
Category: Article
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.09.066

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Knowledge based Least Squares Twin suppo

Knowledge based Least Squares Twin support vector machines

✍ M. Arun Kumar; Reshma Khemchandani; M. Gopal; Suresh Chandra 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 461 KB

Least squares twin support vector hypers

Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition

✍ Xinjun Peng 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 411 KB

Robustified least squares support vector

Robustified least squares support vector classification

✍ Michiel Debruyne; Sven Serneels; Tim Verdonck 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 274 KB

## Abstract Support vector machine (SVM) algorithms are a popular class of techniques to perform classification. However, outliers in the data can result in bad global misclassification percentages. In this paper, we propose a method to identify such outliers in the SVM framework. A specific robust

Classification using least squares suppo

Classification using least squares support vector machine for reliability analysis

✍ Zhi-wei Guo; Guang-chen Bai 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 778 KB

Text classification: A least square supp

Text classification: A least square support vector machine approach

✍ Vikramjit Mitra; Chia-Jiu Wang; Satarupa Banerjee 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 280 KB

Multi-Resolution Least Squares Support V

Multi-Resolution Least Squares Support Vector Machines

✍ Liejun Wang; Taiyi Zhang; Yatong Zhou 📂 Article 📅 2007 🏛 SP Science Press 🌐 English ⚖ 201 KB