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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…
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Related topics
Related topics
6 relations
Artificial neural network
Deep learning
Helmholtz machine
Machine learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Different neural networks approaches for identification of obstructive sleep apnea
Sarah Qasim Ali
,
A. Hossen
IEEE Symposium on Computer Applications…
2018
Corpus ID: 49654728
Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders affecting individuals of different age…
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2015
2015
SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks
N. D. Tân
,
Nguyen Dinh Viet
Conference on Research, Innovation and Vision for…
2015
Corpus ID: 15984719
Since sensor nodes are battery power constrained devices in wireless sensor network (WSN), so how to use the energy of sensor…
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2013
2013
A method for the automatic analysis of the sleep macrostructure in continuum
D. Álvarez-Estévez
,
José María Fernández-Pastoriza
,
Elena Hernández-Pereira
,
V. Moret-Bonillo
Expert systems with applications
2013
Corpus ID: 16727946
2011
2011
Computer Assisted Automatic Sleep Scoring System Using Relative Wavelet Energy Based Neuro Fuzzy Model
G. Garg
,
Vijander Singh
,
J. Gupta
,
A. Mittal
,
Sushil Chandra
2011
Corpus ID: 17486487
This paper addresses the automated scoring of sleep stages using Electroencephalograph (EEG). The change in the Sleep Stages is…
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2008
2008
Respiratory motion visualization and the sleep apnea diagnosis with the time of flight (ToF) camera
D. Falie
,
M. Ichim
,
L. David
2008
Corpus ID: 21373857
A new non-invasive method for diagnosis of sleep apnea, this diagnosis method is based on respiratory motion visualization with a…
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2007
2007
ARTEFACT DETECTION IN SLEEP EEG BY THE USE OF KALMAN FILTERING
A. Schlögl
,
P. Anderer
,
S. Roberts
2007
Corpus ID: 14144322
Inverse filtering can be used to identify transient events. Often, artefacts in the EEG are such transient events. Sleep EEG data…
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2007
2007
A Bayesian Model Averaging Methodology for Detecting EEG Artifacts
V. Schetinin
,
Carsten Maple
International Conference on Digital Signal…
2007
Corpus ID: 18622135
In this paper we describe a Bayesian Model Averaging (BMA) methodology developed for detecting artifacts in electroencephalograms…
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2007
2007
Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea
Ching-Wei Wang
,
Amr Ahmed
,
A. Hunter
World Congress on Engineering
2007
Corpus ID: 15530929
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and…
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Highly Cited
2005
Highly Cited
2005
Self-stopping worms
Justin Ma
,
G. Voelker
,
S. Savage
Worm
2005
Corpus ID: 17115857
Modern network worms spread with tremendous speed-potentially covering the planet in mere seconds. However, for most worms, this…
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1976
1976
Apprentissage d'un labyrinthe en y chez deux souches de souris. effets de la privation instrumentale et pharmacologique du sommeil
K. Kitahama
,
J. Valatx
,
M. Jouvet
Brain Research
1976
Corpus ID: 53153015
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