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Computational neuroscience
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#	Item
271	ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION Liang Lu1 , Xingxing Zhang2 , and Steve Renals1 1 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:21:18 Artificial neural networks Computational neuroscience Computational linguistics Artificial intelligence Computational statistics Recurrent neural network Speech recognition Neural machine translation Long short-term memory Language model Convolutional neural network Vanishing gradient problem
272	LONG SHORT-TERM MEMORY Neural Computation 9(8):1735{1780, 1997 Sepp Hochreiter Fakultat fur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:16:28 Artificial neural networks Computational neuroscience Digital electronics Digital systems Electronic engineering Long short-term memory Sepp Hochreiter Backpropagation through time Backpropagation Flip-flop Memory cell Artificial intelligence
273	A Cognitive Architecture for Robot Self-Consciousness Antonio Chella a,1, Marcello Frixione b,2 and Salvatore Gaglio a,3 a b Add to Reading List Source URL: www.antoniochella.it Language: English - Date: 2013-06-11 17:31:33 Artificial intelligence Cognitive psychology Artificial consciousness Computational neuroscience Consciousness Robot Cognitive architecture
274	SHORT TERM TRAFFIC PREDICTION ON THE UK MOTORWAY NETWORK USING NEURAL NETWORKS Carl Goves Transport Systems Catapult 1. Add to Reading List Source URL: ts.catapult.org.uk Language: English - Date: 2016-05-19 04:36:12 Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Autoencoder Backpropagation Machine learning Deep learning Types of artificial neural networks
275	25th Anniversary Issue Reconsiderations Nils J. Nilsson ■ In 1983, I gave the AAAI president’s address titled Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2006-02-23 13:22:58 Artificial intelligence Philosophy of artificial intelligence Programming paradigms Computational neuroscience Neats vs. scruffies Logic programming Knowledge representation and reasoning Frame language Nils John Nilsson Intelligence Nouvelle AI Artificial general intelligence
276	Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Machine learning Computational linguistics Computational neuroscience Automatic identification and data capture Computer accessibility Speech recognition Artificial neural network Multi-task learning Recurrent neural network Statistical classification Deep learning
277	Advances in Deep Learning by Wojciech Zaremba Ex-Intern at Grad student at Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2014-10-03 11:53:39 Computational neuroscience Artificial neural networks Artificial intelligence Deep learning Convolutional neural network Computational linguistics Recurrent neural network Speech recognition Convolutional Deep Belief Networks
278	The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Educational psychology Computational neuroscience Formal sciences Distance education Educational technology Information technology Deep learning Artificial intelligence
279	September 2015 List of Publications of Dr. Alexei V. Samsonovich The list below is divided into (A) journal papers, (B) conference proceedings papers and book chapters, (C) selected abstracts, (D) other copyrig Add to Reading List Source URL: mason.gmu.edu Language: English - Date: 2015-09-12 23:52:24 Cognitive architecture Artificial intelligence Computational neuroscience Cybernetics Association for the Advancement of Artificial Intelligence SyNAPSE Biologically inspired cognitive architectures
280	Evolutionary Computing, or “What Would a Computer Do?” The computers are at it again, this time challenging humans in a Go competition at the IEEE World Congress of Computing Intelligence (WCCI)—and, based on Alpha Add to Reading List Source URL: wcci2016.org Language: English - Date: 2016-07-07 23:14:14 Game artificial intelligence Artificial intelligence Computational neuroscience Electronic games Evolution Evolutionary computation Blondie24 Computational intelligence Fogel IEEE Computational Intelligence Society Computer chess Artificial neural network

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