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Learning with Generalization Capability by Kernel Methods of Bounded Complexity
- 1.0405215 - UIVT-O 330387 RIV NL eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Learning with Generalization Capability by Kernel Methods of Bounded Complexity.
[Učení se schopností generalizace pomocí jádrových metod omezené složitosti.]
Journal of Complexity. Roč. 21, č. 3 (2005), s. 350-367. ISSN 0885-064X. E-ISSN 1090-2708
R&D Projects: GA AV ČR 1ET100300419
Institutional research plan: CEZ:AV0Z10300504
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
Impact factor: 1.186, year: 2005
Permanent Link: http://hdl.handle.net/11104/0125406File Download Size Commentary Version Access 0405215.pdf 0 1.1 MB Author´s preprint open-access
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