Open access peer-reviewed chapter

Mahalanobis Support Vector Machines Made Fast and Robust

By Xunkai Wei, Yinghong Li, Dong Liu and Liguang Zhan

Published: February 1st 2010

DOI: 10.5772/9390

Downloaded: 2336

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Xunkai Wei, Yinghong Li, Dong Liu and Liguang Zhan (February 1st 2010). Mahalanobis Support Vector Machines Made Fast and Robust, New Advances in Machine Learning, Yagang Zhang, IntechOpen, DOI: 10.5772/9390. Available from:

chapter statistics

2336total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

On-line Learning of Fuzzy Rule Emulated Networks for a Class of Unknown Nonlinear Discrete-Time Controllers with Estimated Linearization

By Chidentree Treesatayapun

Related Book

First chapter

Machine Learning: When and Where the Horses Went Astray?

By Emanuel Diamant

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us