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Early History of Support Vector Machines

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Empirical Inference

Abstract

Many of the ideas now being developed in the framework of Support Vector Machines were first proposed by V. N. Vapnik and A. Ya. Chervonenkis (Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia) in the framework of the “Generalised Portrait Method” for computer learning and pattern recognition. The development of these ideas started in 1962 and they were first published in 1964.

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References

  1. Vapnik, V.N., Chervonenkis, A.Y.: Об одном классе алгоритмов обучения распознаванию образов (On a class of algorithms of learning pattern recognition). Avtomatika i Telemekhanika 25(6) (1964). The journal is translated into English as Automation and Remote Control

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  2. Vapnik, V.N., Chervonenkis, A.Y.: Об одном классе персептронов (On a class of perceptrons). Avtomatika i Telemekhanika 25(1) (1964). The journal is translated into English as Automation and Remote Control

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  3. Vapnik, V.N., Lerner, A.Y.: Узнавание образов при помощи обобщенных портретов (Pattern recognition using generalized portraits). Avtomatika i Telemekhanika 24(6), 774–780 (1968). The journal is translated into English as Automation and Remote Control

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Correspondence to Alexey Ya. Chervonenkis .

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Chervonenkis, A.Y. (2013). Early History of Support Vector Machines. In: Schölkopf, B., Luo, Z., Vovk, V. (eds) Empirical Inference. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41136-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-41136-6_3

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