Nonlinear clustering-based support vector machine for large data sets

Author： Wang Yongqiao Zhang Xun Wang Souyang Lai K. K.

ISSN： 1055-6788

Source： Optimization Methods and Software, Vol.23, Iss.4, 2008-08, pp. : 533-549

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Data‐Driven Adaptive Critic Approach for Nonlinear Optimal Control via Least Squares Support Vector Machine

ASIAN JOURNAL OF CONTROL, Vol. 20, Iss. 1, 2018-01 ,pp. : 104-114

John Wiley & Sons Inc

Access to resources Recommend Favorite

Support vector machine classifiers with uncertain knowledge sets via robust optimization

By Jeyakumar V. Li G. Suthaharan S.

Optimization, Vol. 63, Iss. 7, 2014-07 ,pp. : 1099-1116

Taylor & Francis Ltd

Access to resources Recommend Favorite

Support vector machine‐based feature selection for land cover classification: a case study with DAIS hyperspectral data

By Pal M.

International Journal of Remote Sensing, Vol. 27, Iss. 14, 2006-07 ,pp. : 2877-2894

Taylor & Francis Ltd

Access to resources Recommend Favorite

Support vector machine classification of volatile organic compounds based on narrow‐band spectroscopic data

JOURNAL OF CHEMOMETRICS (ELECTRONIC), Vol. 29, Iss. 1, 2015-01 ,pp. : 38-48

John Wiley & Sons Inc

Access to resources Recommend Favorite

Exploiting separability in large-scale linear support vector machine training

By Woodsend Kristian Gondzio Jacek

Computational Optimization and Applications, Vol. 49, Iss. 2, 2011-06 ,pp. : 241-269

Springer Publishing Company

Access to resources Recommend Favorite