Short-term memory

Results: 382



#Item
311Artificial intelligence / Cybernetics / User interface techniques / Handwriting recognition / Speech recognition / Long short term memory / Pattern recognition / Hidden Markov model / Recurrent neural network / Neural networks / Machine learning / Science

The RWTH Large Vocabulary Arabic Handwriting Recognition System Mahdi Hamdani1 , Patrick Doetsch1 , Michal Kozielski1 , Amr El-Desoky Mousa1 Hermann Ney1,2 1

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Source URL: www-i6.informatik.rwth-aachen.de

Language: English
312Science / Backpropagation / Speech recognition / Perceptron / Recurrent neural network / Multilayer perceptron / Long short term memory / Boltzmann machine / Rprop / Neural networks / Machine learning / Cybernetics

RASR/NN: THE RWTH NEURAL NETWORK TOOLKIT FOR SPEECH RECOGNITION Simon Wiesler1 , Alexander Richard1 , Pavel Golik1 , Ralf Schl¨uter1 , Hermann Ney1,2 1 Human Language Technology and Pattern Recognition, Computer Science

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Source URL: www-i6.informatik.rwth-aachen.de

Language: English
313Memory / Vision / Mental processes / Neuroscience / Mental rotation / Cognition / Spatial memory / Working memory / Visual short-term memory / Mind / Cognitive science / Ethology

EWIC[removed]Workshop Programme

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Source URL: www.ewic2014.org

Language: English - Date: 2014-06-12 02:03:26
314Psychology / Neuropsychology / Psychonomic Society / Visual short-term memory / Visual search / Mental rotation / Louis Herman / Cognitive neuroscience / Vision / Cognitive science / Mind

Microsoft Word - brockmole_vita_b

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Source URL: psychology.nd.edu

Language: English - Date: 2013-04-10 11:16:23
315Cognitive science / Psychology / Recall / Short-term memory / Recognition memory / Speech recognition / Semantic memory / Deese–Roediger–McDermott paradigm / Mind / Mental processes / Memory

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

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Source URL: 129.237.66.221

Language: English - Date: 2012-07-03 10:51:36
316Integral membrane proteins / Cell communication / Computational neuroscience / Membrane potential / Hodgkin–Huxley model / Sodium channel / Axon / Resting potential / Potassium channel / Biology / Electrophysiology / Ion channels

MOLECULAR DYNAMICS OF SHORT-TERM MEMORY Victor Eliashberg Abstract †

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Source URL: brain0.com

Language: English - Date: 2003-07-21 02:54:42
317Cognitive science / Memory / Dyslexia / Creativity / Working memory / Recall / Short-term memory / Mind / Mental processes / Psychology

PSIMETRICA: Tools and techniques for measuring phonological similarity Shane T. Mueller Indiana University January 27, 2006 in collaboration with David E. Meyer, Adam Krawitz, Tom Gruenenfelder,

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Source URL: obereed.net

Language: English - Date: 2006-02-02 16:23:02
318Science / Semantics / Philosophical logic / Working memory / FO / Sentence / Mathematical logic / Short-term memory / Reading span task / Logic / Predicate logic / Quantification

John Benjamins Publishing Company This is a contribution from Belgian Journal of Linguistics 25 © 2011. John Benjamins Publishing Company This electronic file may not be altered in any way. The author(s) of this articl

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Source URL: www.jakubszymanik.com

Language: English - Date: 2011-12-09 11:12:58
319Cognitive science / Memory / Dyslexia / Creativity / Working memory / Recall / Short-term memory / Mind / Mental processes / Psychology

PSIMETRICA: Tools and techniques for measuring phonological similarity Shane T. Mueller Indiana University January 27, 2006 in collaboration with David E. Meyer, Adam Krawitz, Tom Gruenenfelder,

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Source URL: www.obereed.net

Language: English - Date: 2006-02-02 16:23:02
320Neuroscience / Long short term memory / Recurrent neural network / Backpropagation through time / Speech recognition / Backpropagation / Types of artificial neural networks / Neural networks / Cybernetics / Science

SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-08-05 12:39:24
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