SSOSVM {SSOSVM} | R Documentation |
SSOSVM: A package for online training of soft-margin support vector machines (SVMs) using the Stochastic majorization–minimization (SMM) algorithm.
Description
The SSOSVM package allows for the online training of Soft-margin support vector machines (SVMs) using the Stochastic majorization–minimization (SMM) algorithm.
SquareHinge
,Hinge
and Logistic
The function generateSim
can also be used to generate simple test sets.
Author(s)
Andrew T. Jones, Hien D. Nguyen, Geoffrey J. McLachlan
References
Hien D. Nguyen, Andrew T. Jones and Geoffrey J. McLachlan. (2018). Stream-suitable optimization algorithms for some soft-margin support vector machine variants, Japanese Journal of Statistics and Data Science, vol. 1, Issue 1, pp. 81-108.
[Package SSOSVM version 0.2.1 Index]