CCH-based geometric algorithms for SVM and applications
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Publication:1016169
DOI10.1007/S10483-009-0110-6zbMath1189.68120OpenAlexW1989525808MaRDI QIDQ1016169
Publication date: 4 May 2009
Published in: Applied Mathematics and Mechanics. (English Edition) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10483-009-0110-6
Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)
Uses Software
Cites Work
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- Optimizing resources in model selection for support vector machine
- An iterative algorithm learning the maximal margin classifier.
- Support vector interval regression networks for interval regression analysis.
- Radius Margin Bounds for Support Vector Machines with the RBF Kernel
- Choosing multiple parameters for support vector machines
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