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Artificial neural network
Results: 1863

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291	Context-Aware Online Spatiotemporal Traffic Prediction Jie Xu1 , Dingxiong Deng2 , Ugur Demiryurek2 ,Cyrus Shahabi2 , Mihaela van der Schaar1 Department of Electrical Engineering, University of California, Los Angeles1 D Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2016-05-21 03:16:37 Econometrics Online machine learning Regression analysis Machine learning Traffic flow Artificial neural network Unit-weighted regression
292	RTD – SAS Executive Summary Reporting Period: – Achievements The Research Theory and Development – Smart Adaptive Systems Committee has been a highly active committee within EUNITE, contrib Add to Reading List Source URL: www.eunite.org Language: English - Date: 2014-12-06 14:07:29 Cybernetics Adaptive system Artificial neural network Machine learning Computational intelligence Genetic algorithm Artificial immune system Artificial intelligence Adaptive control Cellular neural network
293	2011 10th International Conference on Machine Learning and Applications Max-Coupled Learning: Application To Breast Cancer Jaime S. Cardoso and Inˆes Domingues Add to Reading List Source URL: medicalresearch.inescporto.pt Language: English - Date: 2012-08-01 08:47:41 Machine learning Semi-supervised learning Test set Co-training Supervised learning Multiple instance learning Artificial neural network Support vector machine Online machine learning
294	LETTER Communicated by Surya Ganguli Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:12 Dynamical systems Functional analysis Mathematical physics Statistical mechanics Computational neuroscience Lyapunov exponent Boolean network Artificial neural network Chaos theory Perturbation theory
295	Recurrent Long-Range Interactions in Early Vision Thorsten Hansen, Wolfgang Sepp, and Heiko Neumann Universit¨ at Ulm, Abt. Neuroinformatik, DUlm, Germany (hansen,wsepp,hneumann)@neuro.informatik.uni-ulm.de Add to Reading List Source URL: www.allpsych.uni-giessen.de Language: English - Date: 2007-12-21 03:33:11 Visual system Nervous system Brain Cerebrum Optical illusions Illusory contours Artificial neural network Sensory system Feature detection Complex cell Visual cortex
296	Tutorial on Optimization for Deep Networks Ian Goodfellow Senior Research Scientist Google Brain Re-Work Deep Learning Summit Add to Reading List Source URL: www.deeplearningbook.org Language: English - Date: 2016-08-16 14:29:07 Computational statistics Deep learning Artificial neural network Ian Goodfellow
297	Informatics 1 Cognitive Science (2014–2015) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:43:44 Artificial neural networks Functions and mappings Computational neuroscience Multilayer perceptron Perceptron Function Connectionism Graph of a function Computable function Feedforward neural network
298	Torchnet: An Open-Source Platform for (Deep) Learning Research Ronan Collobert LOCRONAN @ FB . COM Laurens van der Maaten LVDMAATEN @ FB . COM Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Computational neuroscience Machine learning Artificial neural networks Computer vision Convolutional neural network Computational statistics Deep learning MNIST database Torch Feature learning Iterator Database
299	INVESTIGATION OF BACK-OFF BASED INTERPOLATION BETWEEN RECURRENT NEURAL NETWORK AND N-GRAM LANGUAGE MODELS X. Chen, X. Liu, M. J. F. Gales, and P. C. Woodland University of Cambridge Engineering Department, Cambridge, U.K Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-03-11 05:30:19 Computational linguistics Artificial neural networks Artificial intelligence Interpolation Statistical natural language processing Recurrent neural network Language model Linear interpolation N-gram Speech recognition Craig interpolation
300	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning

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