diff --git a/doc/ipython-notebooks/gaussian_process/gaussian_processes.ipynb b/doc/ipython-notebooks/gaussian_process/gaussian_processes.ipynb
index 60c9f73ca32..66c3a42a5c0 100644
--- a/doc/ipython-notebooks/gaussian_process/gaussian_processes.ipynb
+++ b/doc/ipython-notebooks/gaussian_process/gaussian_processes.ipynb
@@ -1,6 +1,7 @@
 {
  "metadata": {
-  "name": ""
+  "name": "",
+  "signature": "sha256:3ea77eb255595416a8b2bde22c3bb238e7f87305eefd4a73e9771ba822be8b56"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -30,7 +31,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "This notebook is about Bayesian regression and classification models with Gaussian Process (GP) priors in Shogun. After providing a semi-formal introductions, we illustrate how to efficiently train them, use them for predictions, and automatically learn parameters ."
+      "This notebook is about <a href=\"http://en.wikipedia.org/wiki/Bayesian_linear_regression\">Bayesian regression</a> and <a href=\"http://en.wikipedia.org/wiki/Statistical_classification\">classification</a> models with <a href=\"http://en.wikipedia.org/wiki/Gaussian_process\">Gaussian Process (GP)</a> priors in Shogun. After providing a semi-formal introductions, we illustrate how to efficiently train them, use them for predictions, and automatically learn parameters ."
      ]
     },
     {