added large scale kernel to sample testing kernel learning paper

doc/cookbook/source/references.bib

@@ -11,21 +11,20 @@ @book{cristianini2000introduction
   publisher={Cambridge University Press}
 }
 @article{fan2008liblinear,
-  title={LIBLINEAR: A Library for Large Linear Classification},
+  title={{LIBLINEAR: A Library for Large Linear Classification}},
   author={R.E. Fan and K.W. Chang and C.J. Hsieh and X.R. Wang and C.J. Lin},
   journal={The Journal of Machine Learning Research},
   volume={9},
   pages={1871--1874},
-<<<<<<< bcd4d7fdaeb804f05bc0d0f0c1f66ae81e7e2ba3
   year={2008}
 }
 @book{Rasmussen2005GPM,
   author = {Rasmussen, C. E. and Williams, C. K. I.},
   title = {Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)},
   year = {2005},
   publisher = {The MIT Press}
-=======
   year={2008},
+}
 
 @article{gretton2012kernel,
   title={A kernel two-sample test},
@@ -35,7 +34,6 @@ @article{gretton2012kernel
   number={1},
   pages={723--773},
   year={2012},
->>>>>>> Add an initial cookbook page for quadratic time mmd
 }
 @article{ueda2000smem,
   title={SMEM Algorithm for Mixture Models},
@@ -104,6 +102,12 @@ @inproceedings{shalev2011shareboost
   booktitle={Advances in Neural Information Processing Systems},
   pages={1179--1187},
   year={2011}
+
+@inproceedings{gretton2012optimal,
+  author={Gretton, A. and Sriperumbudur, B. and Sejdinovic, D. and Strathmann, H. and Balakrishnan, S. and Pontil, M. and Fukumizu, K.},
+  booktitle={Advances in Neural Information Processing Systems},
+  title={{Optimal kernel choice for large-scale two-sample tests}},
+  year={2012}
 }
 @article{sonnenburg2006large,
   title={Large scale multiple kernel learning},