✦ LIBER ✦

New empirical nonparametric kernels for support vector machine classification

✍ Scribed by Daoud, Essam Al; Turabieh, Hamza

Book ID: 122358458
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 745 KB
Volume: 13
Category: Article
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2013.01.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Support vector machine classification wi

Support vector machine classification with indefinite kernels

✍ Ronny Luss; Alexandre d’Aspremont 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 322 KB

New Support Vector Machine for Imbalance

New Support Vector Machine for Imbalance Data Classification

✍ Han, Fengqing; Lei, Ming; Zhao, Wenjuan; Yang, Jianxi 📂 Article 📅 2012 🏛 TSI Press 🌐 English ⚖ 364 KB

Empirical Mode Decomposition of Hyperspe

Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification

✍ Demir, B.; Ertürk, S. 📂 Article 📅 2010 🏛 IEEE 🌐 English ⚖ 759 KB

A kernel functions analysis for support

A kernel functions analysis for support vector machines for land cover classification

✍ T. Kavzoglu; I. Colkesen 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 778 KB

Support Vector Machines for Pattern Clas

Support Vector Machines for Pattern Classification

✍ Abe Sh. 📂 Library 📅 2005 🌐 English ⚖ 2 MB

Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the

Support Vector Machine for mechanical fa

Support Vector Machine for mechanical faults classification

✍ Jiang Zhi-qiang; Fu Hang-guang; Li Ling-jun 📂 Article 📅 2005 🏛 SP Zhejiang University Press 🌐 English ⚖ 610 KB