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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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Highly Cited
2015
Highly Cited
2015
The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models… 
Highly Cited
2014
Highly Cited
2014
As human brain activities, represented by EEG brainwave signals, are more confidential, sensitive, and hard to steal and… 
Highly Cited
2010
Highly Cited
2010
We present an augmented version of the reliability ensemble averaging (REA) method designed to generate probabilistic climate… 
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… 
Highly Cited
2004
Highly Cited
2004
The use of acoustic Doppler current profilers (ADCPs) to measure turbulent parameters via the variance method involves… 
Highly Cited
2003
Highly Cited
2003
Microrheology can be used for high-throughput screening of the rheological properties of sample libraries of complex fluids. Two… 
Highly Cited
1990
Highly Cited
1990
A new type of molecular dynamics us proposed to solved approximately the many-body problem of interacting identical fermions with… 
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…