Update Readme

README.md

@@ -1,4 +1,27 @@
 # GPU
 Density Estimators for Positive-Unlabeled Learning
 
+## Python and R implementation
+
+### Prerequisites 
+* [R language](https://www.r-project.org/)
+  * [bnlearn lybrary](http://www.bnlearn.com/)
+* [Python language](https://www.python.org/)
+  * [scikit-learn](http://scikit-learn.org/stable/)
+  * [NumPy](http://www.numpy.org/)
+
+### Run the experiments
+
+  ```bash
+  python3 gpu.py
+  ```
+## Citation
+```bibtex
+@INPROCEEDINGS{basile2018nfmcp,
+    author = {T.M.A. Basile and N. Di Mauro and F. Esposito and S. Ferilli and A. Vergari},
+    title = {Density Estimators for Positive-Unlabeled Learning},
+    booktitle = {6th International Workshop on New Frontiers in Mining Complex Patterns (NFMCP17)},
+    year = {2018}
+}
+```