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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… 
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Papers overview

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2017
2017
The ability to automatically detect certain types of cells or cellular subunits in microscopy images is of significant interest… 
2013
2013
The effects of torsional degrees of freedom on the excited-state relaxation of conjugated oligomers in solution are explored… 
2012
2012
Abstract : There has been longstanding government and industry interest in pressure-gain combustion for use in Brayton cycle… 
2006
2006
Microparticle experiments conducted using a newly commissioned quadrupole ion trap (QIT) are reported. Single polystyrene… 
Review
2005
Review
2005
We have reviewed the signal conditioning required to obtain high-quality spectral measurements with an FFT-based spectrum… 
Review
2004
Review
2004
Conditional sampling of laser-image data in bi-directional nonperiodic unsteady flows requires an event detector which can… 
2002
2002
Abstract. Wake-rotor interactions at near-stall conditions are studied using digital particle image velocimetry (DPIV) in a… 
1996
1996
A simple model that represents the microstructure of magnetic medium as a rectangular tesselation predicts that the mean‐square… 
1989
1989
A model is considered which has several classes of customers arriving in independent Poisson processes at a multiserver facility…