Support Vector Machines
Zdeněk Dostál ()
Additional contact information
Zdeněk Dostál: VŠB - Technical University Ostrava
Chapter Chapter 16 in Optimal Quadratic Programming and QCQP Algorithms with Applications, 2025, pp 339-347 from Springer
Abstract:
Abstract Here, we describe the primal and dual soft margin SVM problems and give the results of numerical experiments with solving simplified dual SVM problems with soft margin. We solved the resulting QP problems with SPS or SPD Hessian and bound constraints on four classification datasets from LIBSVM dataset web page [204], namely Heart, Diabetes, Australian, and Ionosphere. We used a standard MPRGP algorithm and a variant of the Barzilai and Borwain method.
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-95167-1_16
Ordering information: This item can be ordered from
http://www.springer.com/9783031951671
DOI: 10.1007/978-3-031-95167-1_16
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().