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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2020-09-07 12:58:37 +0100
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2020-09-07 12:58:37 +0100
commitd531d8d67959a9d618f442edcdf55a92e8579a3e (patch)
tree2457e6e5be48f5eb1a3cc2c16189a3927b956f1b /README.md
parentBump version and update cran-comments, news (diff)
downloadrgensvm-d531d8d67959a9d618f442edcdf55a92e8579a3e.tar.gz
rgensvm-d531d8d67959a9d618f442edcdf55a92e8579a3e.zip
Change http to https everywhere
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@@ -36,7 +36,7 @@ common tasks such as cross validation or repeated model fitting, GenSVM can
be trained very quickly.
For more information about GenSVM, see the paper: [GenSVM: A Generalized
-Multiclass Support Vector Machine](http://jmlr.org/papers/v17/14-526.html) by
+Multiclass Support Vector Machine](https://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).
@@ -96,7 +96,7 @@ Alternatively, you can use the following BibTeX code directly:
volume = {17},
number = {225},
pages = {1-42},
- url = {http://jmlr.org/papers/v17/14-526.html}
+ url = {https://jmlr.org/papers/v17/14-526.html}
}
```