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… (More)
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Highly Cited
2014
Highly Cited
2014
Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent… (More)
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Highly Cited
2005
Highly Cited
2005
In this paper, we investigate several state-of-the-art machine-learning methods for automated classification of clustered… (More)
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2004
2004
A custom simulation tool that combines HSPICE and MATLAB to enable time-domain noise analysis is reported. The simulation… (More)
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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… (More)
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Highly Cited
2000
Highly Cited
2000
We present a method for the analysis of electroencephalograms (EEG). In particular, small signals due to stimulation, so-called… (More)
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2000
2000
Noninvasive measurements of somatosensory evoked potentials have both clinical and research applications. The electrical artifact… (More)
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2000
2000
Presents a novel approach to the problem of event-related potential (ERP) identification, based on a competitive artificial… (More)
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Highly Cited
2000
Highly Cited
2000
We investigate the ̄uorescence intensity correlation function of a single CdSe quantum dot (QD) using a start±stop experiment… (More)
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Highly Cited
1998
Highly Cited
1998
Empirical or statistical methods have been introduced into meteorology and oceanography in four distinct stages: 1) linear… (More)
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Highly Cited
1997
Highly Cited
1997
Based on an observation about the different effect of ensemble averaging on the bias and variance portions of the prediction… (More)
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