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Deep learning.
LeCun Y, Bengio Y, Hinton G. LeCun Y, et al. Among authors: hinton g. Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539. Nature. 2015. PMID: 26017442 Review.
A comparison of statistical learning methods on the Gusto database.
Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R. Ennis M, et al. Stat Med. 1998 Nov 15;17(21):2501-8. doi: 10.1002/(sici)1097-0258(19981115)17:21<2501::aid-sim938>3.0.co;2-m. Stat Med. 1998. PMID: 9819841
Temporal-kernel recurrent neural networks.
Sutskever I, Hinton G. Sutskever I, et al. Neural Netw. 2010 Mar;23(2):239-43. doi: 10.1016/j.neunet.2009.10.009. Epub 2009 Nov 5. Neural Netw. 2010. PMID: 19932002
Deep Learning-A Technology With the Potential to Transform Health Care.
Hinton G. Hinton G. JAMA. 2018 Sep 18;320(11):1101-1102. doi: 10.1001/jama.2018.11100. JAMA. 2018. PMID: 30178065 No abstract available.
An efficient learning procedure for deep Boltzmann machines.
Salakhutdinov R, Hinton G. Salakhutdinov R, et al. Among authors: hinton g. Neural Comput. 2012 Aug;24(8):1967-2006. doi: 10.1162/NECO_a_00311. Epub 2012 Apr 17. Neural Comput. 2012. PMID: 22509963
Discovering binary codes for documents by learning deep generative models.
Hinton G, Salakhutdinov R. Hinton G, et al. Top Cogn Sci. 2011 Jan;3(1):74-91. doi: 10.1111/j.1756-8765.2010.01109.x. Epub 2010 Aug 18. Top Cogn Sci. 2011. PMID: 25164175 Free article.
Where do features come from?
Hinton G. Hinton G. Cogn Sci. 2014 Aug;38(6):1078-101. doi: 10.1111/cogs.12049. Epub 2013 Jun 25. Cogn Sci. 2014. PMID: 23800216 Free article.
Learning to represent spatial transformations with factored higher-order Boltzmann machines.
Memisevic R, Hinton GE. Memisevic R, et al. Neural Comput. 2010 Jun;22(6):1473-92. doi: 10.1162/neco.2010.01-09-953. Neural Comput. 2010. PMID: 20141471
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicative interactions that use the intensity of a pixel in the first image as a multiplicative gain …
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hint
Learning multiple layers of representation.
Hinton GE. Hinton GE. Trends Cogn Sci. 2007 Oct;11(10):428-34. doi: 10.1016/j.tics.2007.09.004. Trends Cogn Sci. 2007. PMID: 17921042 Review.
A fast learning algorithm for deep belief nets.
Hinton GE, Osindero S, Teh YW. Hinton GE, et al. Neural Comput. 2006 Jul;18(7):1527-54. doi: 10.1162/neco.2006.18.7.1527. Neural Comput. 2006. PMID: 16764513
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