Nips workshop deep learning and unsupervised feature learning

References 235

[194] Ryoo, S., Rodrigues, C.I., Baghsorkhi, S.S., Stone, S.S., Kirk, D.B., Hwu, W.W.: Optimization principles and application performance evaluation of a multithreaded GPU using CUDA. In: Proceedings of the 13th ACM Symposium on Principles and practice of parallel programming (PPoPP 2008), pp. 73–82 (2008)
[195] Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: Real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 851–860. ACM (2010)
[196] Samarasinghe, S.: Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition. Auerbach Publications (2007) [197] Schaa, D., Kaeli, D.: Exploring the multiple-GPU design space. In: Proceedings of the 2009 IEEE International Symposium on Parallel & Distributed Processing (IPDPS 2009), pp. 1–12. IEEE Computer Society (2009)
[198] Schadt, E.E., Linderman, M.D., Sorenson, J., Lee, L., Nolan, G.P.: Cloud and heterogeneous computing solutions exist today for the emerging big data problems in biology. Nature Reviews Genetics 12(3) (2011)
[199] Schafer, J.L.: Norm: Multiple imputation of incomplete multivariate data under a normal model, version 2 (1999),

[200] the state of the art.

Journal of Biomedical Informatics 44(5), 775–788 (2011)
[215] Sonnenburg, S., Braun, M.L., Ong, C.S., Bengio, S., Bottou, L., Holmes, G., LeCun, Y., M¨uller, K.-R., Pereira, F., Rasmussen, C.E., R¨atsch, G., Sch¨olkopf, B., Smola, A., Vincent, P., Weston, J., Williamson, R.C.: The need for open source software in machine learning. Journal of Machine Learning Research 8, 2443–2466 (2007) [216] Stamatopoulos, C., Chuang, T.Y., Fraser, C.S., Lu, Y.Y.: Fully automated image orientation in the absence of targets. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (XXII ISPRS Congress), vol. XXXIX-B5, pp. 303–308 (2012)
[217] Steinkraus, D., Buck, I., Simard, P.Y.: Using GPUs for machine learning algorithms.

In: Proceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR 2005), vol. 2, pp. 1115–1120 (2005)
[218] Steinwart, I., Hush, D., Scovel, C.: A classification framework for anomaly detection.