Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study

Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study - ePrints Soton The University of Southampton Courses University life Research Business Global About Visit Alumni Departments News Events Contact × Search the Site Search Filter your search: All Courses Projects Staff University of Southampton Institutional Repository Search Advanced Search Policies & Help Latest Download Statistics Browse by Year Browse by Divisions LeftRight Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study Graepel, Thore, Herbrich, Ralf and Shawe-Taylor, John (2000) Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study. In Proceedings of Computational Learning Theory Conference, COLT'2K. Morgan Kaufmann. pp. 304-308 . Record type: Conference or Workshop Item (Paper) This record has no associated files available for download. More information …