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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 Editor: Lorenza Saitta Abstract. The support-vector network is a new learning machine for two-group classification problems. The
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
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
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. ... An Efficient and Robust Fall Detection System Using Wireless Gait Analysis Sensor with Artificial Neural Network (ANN) and Support Vector Machine (SVM) Algorithms. Bhargava Teja Nukala, Naohiro Shibuya, Amanda Rodriguez, Jerry Tsay ...
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.
http://www.sciepub.com/reference/47107
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 classifier.
https://www.semanticscholar.org/paper/Support-Vector-Networks-Cortes-Vapnik/52b7bf3ba59b31f362aa07f957f1543a29a4279e
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 …
http://citeseerx.ist.psu.edu/showciting?cid=934320
C.Cortes and V.Vapnik. Support vector networks (1995) by S H Kwok, C C Yang, K Y Tam Venue: Machine Learning: Add To MetaCart. Tools. Sorted by: Results 1 - 2 of 2. 13.5 A Watermarking System for IP Protection by a Post Layout Incremental Router ...
http://scholar.google.com/citations?user=U_IVY50AAAAJ&hl=en
Corinna Cortes. Google Research, NY. Verified email at google.com - Homepage. Machine Learning Datamining. Articles Cited by Co-authors. Title Cited by Year; Support-vector networks. C Cortes, V Vapnik. Machine learning 20 (3 ... 2010: Support vector machine. C Cortes, V Vapnik. Machine learning 20 (3), 273-297, 1995. 876: 1995: Support vector ...
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
This "Cited by" count includes citations to the following articles in Scholar. ... 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.
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