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http://dept.stat.lsa.umich.edu/~jizhu/pubs/Wang-Sinica06.pdf
THE DOUBLY REGULARIZED SUPPORT VECTOR MACHINE Li Wang, Ji Zhu and Hui Zou University of Michigan and University of Minnesota Abstract: The standard L2-norm support vector machine (SVM) is a widely used tool for classi cation problems. The L1-norm SVM is a variant of the standard L2-
https://www.sciencedirect.com/science/article/pii/S0925231215011108
A weighted doubly regularized support vector machine was proposed and its solution path algorithm was developed. By using both the distance information between classes and within each class, a double-weighted mechanism was presented, based on which the weighted doubly regularized support vector machine was proposed.Cited by: 9
https://www.researchgate.net/publication/228672099_The_doubly_regularized_support_vector_machine
The doubly regularized support vector machine It has been argued that the L 1 -norm p enalty has advan tages over the L 2 - norm penalty under certain scenarios (Donoho, Johnstone, Kerkyachairan and
https://experts.umn.edu/en/publications/the-doubly-regularized-support-vector-machine
The standard L 2-norm support vector machine (SVM) is a widely used tool for classification problems.The L 1-norm SVM is a variant of the standard Lanorm SVM, that constrains the Li-norm of the fitted coefficients.Due to the nature of the L 1-norm, the L 1-norm SVM has the property of automatically selecting variables, not shared by the standard L 2-norm SVM.Cited by: 234
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7717
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The standard L2-norm support vector machine (SVM) is a widely used tool for classification problems. The L1-norm SVM is a variant of the standard L-2norm SVM, that constrains the L1-norm of the fitted coefficients. Due to the nature of the L1-norm, the L1-norm SVM has the property of automatically selecting variables ...
https://www.sciencedirect.com/science/article/abs/pii/S0925231215011108
A weighted doubly regularized support vector machine was proposed and its solution path algorithm was developed. By using both the distance informatio…Cited by: 9
http://proceedings.mlr.press/v15/ye11a.html
Jun 14, 2011 · The support vector machine (SVM) is a widely used tool for classification. Although commonly understood as a method of finding the maximum-margin hyperplane, it can also be formulated as a regularized function estimation problem, corresponding to a …Cited by: 61
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