Smooth Support Vector Machine

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


Smooth Support Vector Machine Home Page

    https://research.cs.wisc.edu/dmi/svm/ssvm/
    For more information, see our paper Smooth Support Vector Machines. SVMs are an optimization based approach for solving machine learning problems. For an introduction to SVMs, you may want to look at this tutorial. The software is free for academic use.

SSVM: A Smooth Support Vector Machine for Classification ...

    https://link.springer.com/article/10.1023%2FA%3A1011215321374
    We term such reformulation a smooth support vector machine (SSVM). A fast Newton–Armijo algorithm for solving the SSVM converges globally and quadratically. Numerical results and comparisons are given to demonstrate the effectiveness and speed of the algorithm.Cited by: 754

Smooth Support Vector Machines

    https://pdfs.semanticscholar.org/fb7e/5403c219b9a49135c21a4580608f8ef1520f.pdf
    introduce the smooth support vector machine (SSVM) (17). The smooth sup-port vector machine has important mathematical properties such as strong convexity and infinitely often differentiability. Based on these properties, we can prove that when the smoothing parameter α …

Two smooth support vector machines for -insensitive regression

    http://math.ntnu.edu.tw/~jschen/Papers/SSVR2017(COAP).pdf
    vector machine, we smooth the optimality condition of the strongly convex uncon- strained optimization problem of (3) with another type of smooth functions ψ ε (x,α). Accordingly we define the function H ψ, which also possesses the same properties as

Smooth Support Vector Machines for Classification and ...

    https://dsmilab.github.io/Yuh-Jye-Lee/assets/file/teaching/2017_machine_learning/CASE012407.pdf
    Smooth Support Vector Machines for Classification and Regression Lee, Yuh-Jye Research Seminar “Mathematical Statistics” Humboldt University, Berlin, Germany Joint work with Olvi Mangasarian, W.-F. Hsieh, C.-M. Huang, and Sun-Yun Huang January 24, 2007 …

GitHub - dsmilab/ssvm: Smooth Support Vector Machine Toolbox

    https://github.com/dsmilab/ssvm
    Smooth Support Vector Machine Toolbox Introduction. SSVM toolbox is an implementation of Smooth Support Vector Machine in Matlab. SSVM is a reformulation of conventional SVM and can be solved by a fast Newton-Armijo algorithm. Besides, choosing a good parameter setting for a better performance in a learning task is an important issue.

Piecewise-Smooth Support Vector Machine for Classification

    https://www.hindawi.com/journals/mpe/2013/135149/
    Support vector machine (SVM) has been applied very successfully in a variety of classification systems. We attempt to solve the primal programming problems of SVM by converting them into smooth unconstrained minimization problems.Cited by: 5

SSVM: A Smooth Support Vector Machine for Classification

    https://www.researchgate.net/publication/226514122_SSVM_A_Smooth_Support_Vector_Machine_for_Classification
    We term such reformulation a smooth support vector machine (SSVM). A fast Newton–Armijo algorithm for solving the SSVM converges globally and quadratically. Numerical results and …

Downscaling GCMs using the Smooth Support Vector Machine ...

    https://link.springer.com/article/10.1007%2Fs00376-009-8071-1
    Feb 16, 2010 · In this study, a statistical downscaling approach based on the Smooth Support Vector Machine (SSVM) method was constructed to predict daily precipitation of the changed climate in the Hanjiang Basin. NCEP/NCAR reanalysis data were used to establish the statistical relationship between the larger scale climate predictors and observed precipitation.Cited by: 32



How to find Smooth 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