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Neural networks
Results: 3500

#	Item
921	An EM based training algorithm for recurrent neural networks Jan Unkelbach, Sun Yi, and J¨ urgen Schmidhuber IDSIA,Galleria 2, 6928 Manno, Switzerland {jan.unkelbach,yi,juergen}@idsia.ch Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2009-06-02 13:32:38
922	Neural networks for local structure detection in polymorphic systems Philipp Geiger and Christoph Dellago Citation: The Journal of Chemical Physics 139, ); doi: View online: http://dx.doi.or Add to Reading List Source URL: comp-phys.univie.ac.at Language: English - Date: 2014-02-11 03:24:53
923	Deformable Part Models are Convolutional Neural Networks Ross Girshick1 Forrest Iandola2 1 Microsoft Research Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2015-04-13 15:47:10
924	The Evolution of Behavioural and Linguistic Skills to Execute and Generate Two-word Instructions in Agents Controlled by Dynamical Neural Networks Elio Tuci, Tomassino Ferrauto, Gianluca Massera and Stefano Nolfi Institu Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-24 09:49:14
925	Medical Image Analysis–92 www.elsevier.com / locate / media Automatic recognition of cortical sulci of the human brain using a congregation of neural networks ` a , , Jean-Franc¸ois Mangin a , Dimitri Pap Add to Reading List Source URL: brainvisa.info Language: English* - Date: 2012-12-13 03:57:45
926	Q IWA Publishing 2008 Journal of Hydroinformatics \| 10.2 \| A hybrid neural networks and numerical models approach for predicting groundwater abstraction impacts Add to Reading List Source URL: www.iwaponline.com Language: English - Date: 2008-03-08 10:14:18
927	Qualitative and Quantitative Methods in Libraries (QQML) Special Issue Bibliometrics and Scientometrics: 71-79, 2015 Citation-Based Document Categorization: An Approach Using Artificial Neural Networks Magali Rezende Gou Add to Reading List Source URL: www.qqml.net Language: English - Date: 2015-01-15 20:53:35
928	Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto, Ontario, Canada. Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-08 16:44:47
929	Journal of Machine Learning Research1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-07-26 23:05:09
930	Reversible Neural Networks Add to Reading List Source URL: ticsp.cs.tut.fi Language: English - Date: 2008-04-01 15:01:23

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