Mathematical Optimization in SVMs
In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoint. Both the linear case using hard-margin as well as soft-margin classification and the non-linear case using kernel functions are discussed. The theory of kernel Hilbert spaces is introduced and rela...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för teknikvetenskap (SCI)
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297492 |