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https://link.springer.com/article/10.1007%2FBF00994018
Sep 01, 1995 · The idea behind the support-vector network was previously implemented for the restricted case where the training data can be separated without errors. We here extend this result to non-separable training data. High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated.Cited by: 38765
http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf
Support-Vector Networks CORINNA CORTES [email protected] 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
https://en.wikipedia.org/wiki/Vladimir_Vapnik
Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6 December 1936) is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning, and the co-inventor of the support-vector machine method, and support-vector clustering algorithm.Alma mater: Institute of Control Sciences, …
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
This "Cited by" count includes citations to the following articles in Scholar. ... L Kaufman, AJ Smola, V Vapnik. Advances in neural information processing systems, 155-161, 1997. 3176: 1997: Support vector method for function approximation, regression estimation and signal processing. V …
https://link.springer.com/article/10.1023%2FA%3A1022627411411
Sep 01, 1995 · 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. In this feature space …Cited by: 38765
https://www.math.arizona.edu/~hzhang/math574m/Read/vapnik.pdf
An Overview of Statistical Learning Theory Vladimir N. Vapnik Abstract— Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of …
https://www.amazon.com/Statistical-Learning-Theory-Vladimir-Vapnik/dp/0471030031
Aug 17, 2015 · Vladimir Naumovich Vapnik is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.5/5(6)
http://homepages.rpi.edu/~bennek/class/mmld/papers/svn.pdf
output from the 4 hidden units weights of the 4 hidden units dot−products weights of the 5 hidden units dot−products dot−product perceptron output
https://www.sciencedirect.com/science/article/pii/S0165011402005146
Sep 01, 2003 · Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems. In this paper, we introduce the use of SVM for multivariate fuzzy linear and nonlinear regression models.Cited by: 171
http://www.clrc.rhul.ac.uk/publications/vapnik/index.shtml
V. Vapnik (1998) Statistical Learning Theory, John Wiley, 1998, NY, p.732. V. Vapnik (1998) The support vector method of function estimation NATO ASI Series, Neural Network and Machine Learning, C. Bishop (Ed.), Springer, 1998. V. Vapnik (1999) Three remarks on support vector function estimation.
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