Short-term memory

Results: 382



#Item
61Perception, 2008, volume 37, pages 624 ^ 627  doi:p5812 LAST BUT NOT LEAST

Perception, 2008, volume 37, pages 624 ^ 627 doi:p5812 LAST BUT NOT LEAST

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Source URL: www.cogsci.uci.edu

Language: English - Date: 2008-05-07 20:59:45
62MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Context-Sensitive and Role-Dependent Spoken Language Understanding using Bidirectional and Attention LSTMs Hori, C.; Hori, T.; Watanabe, S.; Hershey, J.R.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Context-Sensitive and Role-Dependent Spoken Language Understanding using Bidirectional and Attention LSTMs Hori, C.; Hori, T.; Watanabe, S.; Hershey, J.R.

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Source URL: www.merl.com

Language: English - Date: 2016-08-01 10:10:56
63A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1  2

A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2

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Source URL: www.cstr.inf.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
64MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Driver Confusion Status Detection Using Recurrent Neural Networks Hori, C.; Watanabe, S.; Hori, T.; Harsham, B.A.; Hershey, J.R.; Koji, Y.; Fujii, Y.; Furumot

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Driver Confusion Status Detection Using Recurrent Neural Networks Hori, C.; Watanabe, S.; Hori, T.; Harsham, B.A.; Hershey, J.R.; Koji, Y.; Fujii, Y.; Furumot

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Source URL: www.merl.com

Language: English - Date: 2016-08-02 13:09:10
65GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA

GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:10:32
66AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom

AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom

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Source URL: wp.nyu.edu

Language: English - Date: 2016-08-16 16:20:28
67LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen

LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:12:00
68ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6

ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2016-01-23 15:42:05
69Mem Cogn:242–261 DOIs13421x Paranormal psychic believers and skeptics: a large-scale test of the cognitive differences hypothesis Stephen J. Gray 1 & David A. Gallo 1

Mem Cogn:242–261 DOIs13421x Paranormal psychic believers and skeptics: a large-scale test of the cognitive differences hypothesis Stephen J. Gray 1 & David A. Gallo 1

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Source URL: memorylab.uchicago.edu

Language: English - Date: 2016-02-11 12:43:35
70REVIEW  doi:nature14539 Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5

REVIEW doi:nature14539 Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5

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Source URL: www.cs.toronto.edu

Language: English - Date: 2015-08-10 12:54:32