The Doubly Regularized Support Vector Machine

Searching for The Doubly Regularized Support Vector Machine information? Find all needed info by using official links provided below.


THE DOUBLY REGULARIZED SUPPORT VECTOR MACHINE

    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-

Weighted doubly regularized support vector machine and its ...

    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

(PDF) The doubly regularized support vector machine

    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

The doubly regularized support vector machine — Experts ...

    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

CiteSeerX — The doubly regularized support vector machine

    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 ...

Weighted doubly regularized support vector machine and its ...

    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

Efficient variable selection in support vector machines ...

    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



How to find The Doubly Regularized Support Vector Machine information?

Follow the instuctions below:

  • Choose an official link provided above.
  • Click on it.
  • Find company email address & contact them via email
  • Find company phone & make a call.
  • Find company address & visit their office.

Related Companies Support