External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Sparsity vs. Large Margins for Linear Classifiers

Ralf Herbrich, Thore Graepel, John Shawe-Taylor. Sparsity vs. Large Margins for Linear Classifiers. In Nicolò Cesa-Bianchi, Sally A. Goldman, editors, Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California. pages 304-308, Morgan Kaufmann, 2000.

Abstract

Abstract is missing.

runs on