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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 ... & Vapnik, 1992), that the order of operations for constructing a decision function can ... We will call this type of learning machine a support-vector network3.
https://link.springer.com/article/10.1007%2FBF00994018
Sep 01, 1995 · Thesupport-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 a linear decision surface is constructed. Special properties of the decision surface ensures high generalization ability of the learning machine…Cited by: 38765
https://link.springer.com/article/10.1023%2FA%3A1022627411411
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 a linear decision surface is constructed.Cited by: 38765
http://www.sciepub.com/reference/47107
Cortes, C. and Vapnik, V., “Support-Vector Networks,” Machine Learning 20(3). 273-297. 1995. ... An ensemble consists of a set of individually trained classifiers (such as Support Vector Machine and Classification Tree) whose predictions are combined by an algorithm. Ensemble methods is expected to improve the predictive performance of ...
https://www.scirp.org/reference/ReferencesPapers.aspx?ReferenceID=1033915
C. Cortes and V. Vapnik, “Support-Vector Network,” Machine Learning, Vol. 20, No. 3, 1995, pp. 273-297. ... C. Cortes and V. Vapnik, “Support-Vector Network,” Machine Learning ... An Efficient and Robust Fall Detection System Using Wireless Gait Analysis Sensor with Artificial Neural Network (ANN) and Support Vector Machine (SVM ...
http://helios.mi.parisdescartes.fr/~bouzy/Doc/AA1/CortesVapnik-SupportVectorNetworks-ML1995.pdf
Support-vector networks Reference • These slides present the following paper: – C.Cortes, V.Vapnik, « support vector networks », Machine Learning (1995) • They are commented with my personal view to teach the key ideas of SVN. • The outline mostly follows the outline of the paper.
https://www.semanticscholar.org/paper/Support-Vector-Networks-Cortes-Vapnik/52b7bf3ba59b31f362aa07f957f1543a29a4279e
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 a linear decision surface is constructed. Special properties of the decision surface ensures high generalization ability of the learning machine ...
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
Support-vector networks. C Cortes, V Vapnik. Machine learning 20 (3), 273-297, 1995. 38944: 1995: A training algorithm for optimal margin classifiers. BE Boser, IM Guyon, VN Vapnik. Proceedings of the fifth annual workshop on Computational learning theory ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.9362
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): 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 a linear decision surface is constructed.
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, …
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