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Learning with Generalization Capability by Kernel Methods of Bounded Complexity
- 1.0405189 - UIVT-O 20030200 CZ eng V - Research Report
Kůrková, Věra - Sanguineti, M.
Learning with Generalization Capability by Kernel Methods of Bounded Complexity.
Prague: ICS AS CR, 2003. 16 s. Technical Report, V-901.
R&D Projects: GA ČR GA201/02/0428
Grant - others:IT-CZ Area MC6(XX) Project 22
Institutional research plan: AV0Z1030915
Keywords : supervised learning * generalization * model complexity * kernel methods * minimization of regularized empirical errors * upper bounds on rates of approximate optimization
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125385
File Download Size Commentary Version Access v901-03.pdf 15 276.9 KB Other open-access
Number of the records: 1