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https://papers.nips.cc/paper/1253-improving-the-accuracy-and-speed-of-support-vector-machines.pdf
Improving the Accuracy and Speed of Support Vector Machines 377 where Cl:j ~ ° are the positive weights, determined during training, Yj E {±1} the class labels of the Sj, and N s the number of support vectors. Thus in order to
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.1171
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Support Vector Learning Machines (SVM) are finding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very general backdrop, any methods for improving the generalization performance, or for improving the speed in test phase, of SVMs are of increasing ...
https://www.researchgate.net/publication/2698556_Improving_the_Accuracy_and_Speed_of_Support_Vector_Machines
Improving the Accuracy and Speed of Support Vector Machines. ... augmentation for improving the accuracy of action recognition, where action videos are modeled by linear dynamical systems and ...
https://link.springer.com/article/10.1023%2FA%3A1009715923555
Jun 01, 1998 · Abstract. The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in detail.Cited by: 21704
http://www.kernel-machines.org/publications/BurSch97
C. J Burges and B. Schölkopf (1997) . Improving the accuracy and speed of support vector learning machines. In: Advances in Neural Information Processing Systems 9, ed. by M. Mozer and M. Jordan and T. Petsche, pp. 375–381, Cambridge, MA, MIT Press.
https://www.thefreelibrary.com/Improving+intrusion+detection+with+adaptive+support+vector+machines.-a0386595048
Jul 01, 2014 · Free Online Library: Improving intrusion detection with adaptive support vector machines.(Report) by "Elektronika ir Elektrotechnika"; Engineering and manufacturing Data security Methods Machine learning Network architecture Safety and security measures Network architectures
https://core.ac.uk/display/45853309
Support Vector Learning Machines (SVM) are finding application in pattern recognition, regression estimation, and operator inversion for illposed problems. Against this very general backdrop any methods for improving the generalization performance, or for improving the speed in test phase of SVMs are of increasing interest.Author: C. Burges and B. Schölkopf
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