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Ensemble averaging (machine learning)

Known as: Ensemble, Ensemble average (machine learning), Ensemble averaging 
In machine learning, particularly in the creation of artificial neural networks, ensemble averaging is the process of creating multiple models and… Expand
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Artificial intelligence
Committee machineEnsemble learningGlossary of artificial intelligenceMachine learning
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Backpropagation for Energy-Efficient Neuromorphic Computing
Solving real world problems with embedded neural networks requires both training algorithms that achieve high performance and… Expand
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Highly Cited
2004
Highly Cited
2004
Diffuse interface modeling of two-phase flows based on averaging: mass and momentum equations
A diffuse interface model is derived for the direct simulation of two-phase flows with surface tension, phase-change, and density… Expand
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Highly Cited
2004
Highly Cited
2004
Uncertainties in Estimates of Reynolds Stress and TKE Production Rate Using the ADCP Variance Method
The use of acoustic Doppler current profilers (ADCPs) to measure turbulent parameters via the variance method involves… Expand
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Highly Cited
2002
Highly Cited
2002
Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the reliability ensemble averaging (REA) method
The ‘‘reliability ensemble averaging’’ (REA) method for calculating average, uncertainty range, and a measure of reliability of… Expand
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Highly Cited
2000
Highly Cited
2000
Cosserat modelling of size effects in the mechanical behaviour of polycrystals and multi-phase materials
Classical homogenization techniques are not designed to predict the effect of the size of the constituents on the effective… Expand
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Highly Cited
2000
Highly Cited
2000
Photon antibunching in single CdSe/ZnS quantum dot fluorescence
We investigate the fluorescence intensity correlation function of a single CdSe quantum dot (QD) using a start‐stop experiment… Expand
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Highly Cited
1998
Highly Cited
1998
Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography.
Abstract Empirical or statistical methods have been introduced into meteorology and oceanography in four distinct stages: 1… Expand
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Highly Cited
1994
Highly Cited
1994
Chaotic Oscillations and the Genesis of Meaning in Cerebral Cortex
Single neurons generate action potentials that express their output in pulse frequencies, so that sensory stimuli can be… Expand
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Highly Cited
1990
Highly Cited
1990
Anomalous diffusion in disordered media: Statistical mechanisms, models and physical applications
Abstract The subject of this paper is the evolution of Brownian particles in disordered environments. The “Ariadne's clew” we… Expand
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Highly Cited
1990
Highly Cited
1990
An experimental study of a turbulent vortex ring
A turbulent vortex ring having a relatively thin core is formed in water by a momentary jet discharge from an orifice in a… Expand
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