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| author | Gertjan van den Burg <burg@ese.eur.nl> | 2017-01-05 11:50:20 +0100 |
|---|---|---|
| committer | Gertjan van den Burg <burg@ese.eur.nl> | 2017-01-05 11:50:20 +0100 |
| commit | 65f0e980cadaab60d3f5325c05fffd0d1d8b0532 (patch) | |
| tree | fc6593ab9a8f64d52850a2c9f7248a80c1593f9e | |
| parent | documentation fixes (diff) | |
| download | gensvm-65f0e980cadaab60d3f5325c05fffd0d1d8b0532.tar.gz gensvm-65f0e980cadaab60d3f5325c05fffd0d1d8b0532.zip | |
minor changes to the readme
| -rw-r--r-- | README.md | 21 |
1 files changed, 11 insertions, 10 deletions
@@ -1,13 +1,14 @@ GenSVM C Package ================ -GenSVM: A Generalized Multiclass Support Vector Machine. - -Author: Gertjan van den Burg (<gertjanvandenburg@gmail.com>) +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 |