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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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Highly Cited
2015
Highly Cited
2015
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
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
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
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
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
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
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
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
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
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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