From 65f0e980cadaab60d3f5325c05fffd0d1d8b0532 Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Thu, 5 Jan 2017 11:50:20 +0100 Subject: minor changes to the readme --- README.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) (limited to 'README.md') diff --git a/README.md b/README.md index 449f32c..000f088 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,14 @@ GenSVM C Package ================ -GenSVM: A Generalized Multiclass Support Vector Machine. - -Author: Gertjan van den Burg () +Paper: [GenSVM: A Generalized Multiclass Support Vector +Machine](http://jmlr.org/papers/v17/14-526.html) by G.J.J. van den Burg and +P.J.F. Groenen (*Journal of Machine Learning Research*, 2016). GitHub: [https://github.com/GjjvdBurg/GenSVM](https://github.com/GjjvdBurg/GenSVM) + Introduction ------------ @@ -21,16 +22,16 @@ Usage below for how to use GenSVM. The library has support for datasets in [MSVMpack](https://members.loria.fr/FLauer/files/MSVMpack/MSVMpack.html) and [LibSVM/SVMlight](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) format, and can -take advantage of sparse datasets. There is also support for nonlinear GenSVM -through kernels. +take advantage of sparse datasets. There is also preliminary support for +nonlinear GenSVM through kernels. -For documentation on how the library is implemented, see the Doxygen -documentation available [here](https://gjjvdburg.github.io/GenSVM/). There are +For documentation on how the library is implemented, see the [Doxygen +documentation available here](https://gjjvdburg.github.io/GenSVM/). There are also many unit tests, which you can use to further understand how the library -works. Test coverage for the current version is reported -[here](https://gjjvdburg.github.io/GenSVM/cover). +works. For the latest version of the library you can view the [test coverage +report](https://gjjvdburg.github.io/GenSVM/cover) online. -This is the C library for GenSVM, which contains two executables for using the +This is the C library for GenSVM which contains two executables for using the method. Python and R packages for GenSVM are planned. If you are interested in these, please express your interest for the Python package [here](https://github.com/GjjvdBurg/GenSVM/issues/1) and for the R package -- cgit v1.2.3