README.md in rb-libsvm-1.1.5 vs README.md in rb-libsvm-1.2.0

@@ -7,11 +7,15 @@
 is a machine learning and classification algorithm, and LIBSVM is a
 popular free implementation of it, written by Chih-Chung Chang and
 Chih-Jen Lin, of National Taiwan University, Taipei. See the book ["Programming
 Collective Intelligence,"](http://books.google.com/books?id=fEsZ3Ey-Hq4C) among others, for a usage example.
 
-Note: There exist two other Ruby bindings for LIBSVM. One is named
+There is a JRuby implementation of this gem named
+[jrb-libsvm](https://github.com/sch1zo/jrb-libsvm) by
+[Andreas Eger](https://github.com/sch1zo).
+
+Note: There exist some other Ruby bindings for LIBSVM. One is named
 [Ruby SVM][ruby-svm], written by Rudi Cilibrasi. The other, more
 actively developed one is [libsvm-ruby-swig][svmrubyswig] by Tom Zeng,
 which is built using SWIG.
 
 LIBSVM includes a number of command line tools for preprocessing
@@ -74,12 +78,9 @@
 gem 'rb-libsvm', require: 'libsvm'
 ```
 
 This is because the loadable name (`libsvm`) is different from the
 gem's name (`rb-libsvm`).
-
-There is a JRuby variant of this gem named
-[jrb-libsvm](https://github.com/sch1zo/jrb-libsvm) by Andreas Eger.
 
 ## Author
 
 Written by [C. Florian Ebeling](https://github.com/febeling).