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

Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study
Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study
304-308
Morgan Kaufmann
Graepel, Thore
f01fa538-c0f8-4e36-bbcc-698366e73f39
Herbrich, Ralf
3024ba7e-f3a1-4187-8655-b7f163c7c733
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Graepel, Thore
f01fa538-c0f8-4e36-bbcc-698366e73f39
Herbrich, Ralf
3024ba7e-f3a1-4187-8655-b7f163c7c733
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b

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)

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Published date: 2000
Organisations: Electronics & Computer Science

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Local EPrints ID: 259641
URI: http://eprints.soton.ac.uk/id/eprint/259641
PURE UUID: b90e094b-fd6e-4120-9555-70ee4053e375

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Date deposited: 03 Aug 2004
Last modified: 24 Jun 2020 16:33

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