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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… 
Highly Cited
2010
Highly Cited
2010
We observe a crossover from strong to weak chaos in the spatiotemporal evolution of multiple-site excitations within disordered… 
2006
2006
This study addresses seasonal climate forecasts using coupled atmosphere—ocean multimodels. Using as many as 67 different… 
2004
2004
This paper introduces a new classifier design methods that are based on a modification of the classical Ho-Kashyap procedure… 
2002
2002
We use homogenization theory to investigate the asymptotic macrodispersion in arbitrary nonuniform velocity fields, which show… 
2000
2000
This paper investigates the uncertainties in different model estimates of an expected anthropogenic signal in the near-surface… 
Highly Cited
1992
Highly Cited
1992
We have employed picosecond pump–probe techniques in conjunction with a tandem time‐of‐flight mass spectrometer to investigate… 
1990
1990
Cyclic variations and turbulence characterisation are considered in the context of in-cylinder flows. Three methods of data… 
Review
1981
Review
1981
This paper forms a preface and introduction to a new method for the estimation of evoked potentials: a posteriori time-varying…