Wake-sleep algorithm

The wake-sleep algorithm is an unsupervised learning algorithm for a stochastic multilayer neural network. The algorithm adjusts the parameters so as… (More)
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Papers overview

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2017
2017
We investigate a recently proposed model for cortical computation which performs relational inference. It consists of several… (More)
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Highly Cited
2015
Highly Cited
2015
Training deep directed graphical models with many hidden variables and performing inference remains a major challenge. Helmholtz… (More)
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2015
2015
Despite their success, convolutional neural networks are computationally expensive because they must examine all image locations… (More)
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Highly Cited
2010
Highly Cited
2010
We describe a system for the evaluation of the sleep macrostructure on the basis of Emfit sensor foils placed into bed mattress… (More)
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Highly Cited
2006
Highly Cited
2006
We show how to use complementary priors to eliminate the explaining-away effects that make inference difficult in densely… (More)
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2004
2004
We present two-layered neural network models with Q (> or =2)-states neurons for a system with middle temporal (MT) neurons and… (More)
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Highly Cited
2001
Highly Cited
2001
To address the subjectivity in manual scoring of polysomnograms, a computer-assisted sleep staging method is presented in this… (More)
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Highly Cited
2000
Highly Cited
2000
This study assessed the sleep patterns, sleep disruptions, and sleepiness of school-age children. Sleep patterns of 140 children… (More)
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1998
1998
The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm… (More)
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1995
1995
The wake-sleep algorithm (Hinton, Dayan, Frey and Neal 1995) is a relatively efficient method of fitting a multilayer stochastic… (More)
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