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Support vector machine
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== History == The original SVM algorithm was invented by [[Vladimir N. Vapnik]] and [[Alexey Chervonenkis|Alexey Ya. Chervonenkis]] in 1964.{{Citation needed|date=March 2022}} In 1992, Bernhard Boser, [[Isabelle Guyon]] and [[Vladimir Vapnik]] suggested a way to create nonlinear classifiers by applying the [[kernel trick]] to maximum-margin hyperplanes.<ref name="ReferenceA">{{Cite book |doi=10.1145/130385.130401 |chapter=A training algorithm for optimal margin classifiers |title=Proceedings of the fifth annual workshop on Computational learning theory β COLT '92 |pages=144 |year=1992 |last1=Boser |first1=Bernhard E. |last2=Guyon |first2=Isabelle M. |last3=Vapnik |first3=Vladimir N. |isbn=978-0897914970 |citeseerx=10.1.1.21.3818 |s2cid=207165665 |chapter-url=http://www.clopinet.com/isabelle/Papers/colt92.ps.Z }}</ref> The "soft margin" incarnation, as is commonly used in software packages, was proposed by [[Corinna Cortes]] and Vapnik in 1993 and published in 1995.<ref name="CorinnaCortes">{{Cite journal |last1=Cortes |first1=Corinna |author-link1=Corinna Cortes |last2=Vapnik |first2=Vladimir |author-link2=Vladimir Vapnik |year=1995 |title=Support-vector networks |journal=[[Machine Learning (journal)|Machine Learning]] |volume=20 |issue=3 |pages=273β297 |doi=10.1007/BF00994018 |doi-access=free |citeseerx=10.1.1.15.9362 |s2cid=206787478 |url=http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf }}</ref>
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