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http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf
VLADIMIR VAPNIK [email protected] AT&T Bell Labs., Holmdel, NJ 07733, USA Editor: Lorenza Saitta Abstract. The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space.
https://medium.com/@zachary.bedell/support-vector-machines-explained-73f4ec363f13
Dec 07, 2018 · Support vector machines (SVMs) are a popular linear classifier, the current version of which was developed by Vladimir Vapnik and Corinna Cortes. SVMs are supervised learning models, meaning sample…Author: Zach Bedell
https://towardsdatascience.com/support-vector-machines-a-brief-overview-37e018ae310f
Aug 02, 2017 · In 1963, Vladimir Vapnik and Alexey Chervonenkis developed another classification tool, the support vector machine. Vapnik refined this classification method in the 1990’s and extended uses for SVMs. Support vector machines have become a great tool for the data scientist. In this blog post, I plan on offering a high-level overview of SVMs.
https://lexfridman.com/vladimir-vapnik/
Nov 16, 2018 · Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. His work has been cited over 170,000 times. He has some very interesting ideas about artificial intelligence and the nature of learning, especially on the limits of our current approaches and the open problems in the field. Video version is ...
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