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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://bi.snu.ac.kr/Courses/g-cmi12s/slides/SVM.pptx
Support-Vector NetworksC Cortes and V Vapnik. 12.04.26.(Tue) Computational Models of Intelligence. Joon Shik Kim. Introduction. The support-vector network is a new learning machine for two-group classification problems. Input vectors are non-linearly mapped to a very high dimension feature space.
https://www.scirp.org/reference/ReferencesPapers.aspx?ReferenceID=1033915
C. Cortes and V. Vapnik, “Support-Vector Network,” Machine Learning, Vol. 20, No. 3, 1995, ... 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, Jerry Lopez ...
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.
http://citeseerx.ist.psu.edu/showciting?cid=2462928
We solve an electricity load forecast problem using a learning algorithm presented by V.Vapnik and C.Cortes in 1995 ([1])called Support Vector Machine. The algorithm has high tting capability and is currently used in many real-world problems ([8]).
http://www.oalib.com/references/14928740
Dec 24, 2014 · C. Cortes and V. Vapnik, “Support-vector networks,” Machine Learning, vol. 20, no. 3, pp. 273–297, 1995. 被如下文章引用： TITLE: Intelligent Diagnosis Method for Centrifugal Pump System Using Vibration Signal and Support Vector Machine
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
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
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. ... Support vector method for function approximation, regression estimation and signal processing. V Vapnik, SE Golowich, AJ Smola.
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