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http://www.stat.purdue.edu/~yuzhu/stat598m3/Papers/NewSVM.pdf
New Support Vector Algorithms 1209 Figure 1: In SV regression, a desired accuracyeis speci” ed a priori.It is then attempted to ” t a tube with radiuseto the data.The trade-off between model
https://www.sciencedirect.com/science/article/pii/S0925231218312207
A kernel support vector machine (SVM) is one of the most popular classifiers, and it has been applied to a variety of fields due to its excellent classification performance , , , , , , , . Typical examples of nonlinear kernels include the polynomial kernel, the radial basis function (RBF) kernel and the Gaussian kernel, which definitely ...Author: Jeonghyun Baek, Euntai Kim
https://www.mitpressjournals.org/doi/10.1162/089976600300015565
Mar 13, 2006 · We propose a new class of support vector algorithms for regression and classification. In these algorithms, a parameter ν lets one effectively control the …Cited by: 3121
http://alex.smola.org/papers/2000/SchSmoWilBar00.pdf
New Support Vector Algorithms 1209 Figure 1: In SV regression, a desired accuracy "is specified a priori. It is then attempted to fit a tube with radius "to the data. The trade-off between model complexity and points lying outside the tube (with positive slack variables »)is determined by …
https://dl.acm.org/citation.cfm?id=1139691
We propose a new class of support vector algorithms for regression and classification. In these algorithms, a parameter lets one effectively control the number of support vectors. While this can be...Cited by: 3121
https://ieeexplore.ieee.org/document/1562621/citations
Sep 23, 2005 · A New Support Vector Machine for Multi-class Classification Abstract: Support vector machines (SVMs) for classification - in short SVC - have been shown to be promising classification tools in many real-world problems. How to effectively extend binary SVC to multi-class classification is still an on-going research issue.
https://www.vector.com/us/en-us/
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