PrologMethods/Classification/hoeffding_tree.md

@@ -93,11 +93,11 @@ train(  +pointer(float_array), +integer, +integer,
 
 If you want a more detailed explanation, then go to the python documentation. There is most of the time a good explanation on how the methods work and what the parameters do.
 
-* [MLpack::hoeffding_tree_C++\_documentation](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1tree_1_1HoeffdingTree.html)
-* [MLpack::hoeffding_tree_Python_documentation](https://www.mlpack.org/doc/stable/python_documentation.html#hoeffding_tree)
+* [**MLpack::hoeffding_tree_C++\_documentation**](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1tree_1_1HoeffdingTree.html)
+* [**MLpack::hoeffding_tree_Python_documentation**](https://www.mlpack.org/doc/stable/python_documentation.html#hoeffding_tree)
 
 added some of the links from the python documentation
 
-* [decision_tree](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/decision_tree#decision-tree)
-* random_forest
-* [Mining High-Speed Data Streams (pdf)](http://dm.cs.washington.edu/papers/vfdt-kdd00.pdf)
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+* [**decision_tree**](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/Classification/decision_tree)
+* [**random_forest**](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/Classification/random_forest)
+* [**Mining High-Speed Data Streams (pdf)**](http://dm.cs.washington.edu/papers/vfdt-kdd00.pdf)
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