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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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Related topics

Related topics

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Broader (1)

Artificial intelligence
Committee machineEnsemble learningGlossary of artificial intelligenceMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Cell Detection with Deep Convolutional Neural Network and Compressed Sensing
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
The crossover from strong to weak chaos for nonlinear waves in disordered systems
We observe a crossover from strong to weak chaos in the spatiotemporal evolution of multiple-site excitations within disordered… 
2006
2006
Seasonal climate forecasts of the South Asian monsoon using multiple coupled models
This study addresses seasonal climate forecasts using coupled atmosphere—ocean multimodels. Using as many as 67 different… 
2004
2004
An /spl epsiv/-margin nonlinear classifier based on fuzzy if-then rules
This paper introduces a new classifier design methods that are based on a modification of the classical Ho-Kashyap procedure… 
2002
2002
Macrodispersivity for transport in arbitrary nonuniform flow fields: Asymptotic and preasymptotic results
We use homogenization theory to investigate the asymptotic macrodispersion in arbitrary nonuniform velocity fields, which show… 
2001
2001
Higher-order spectra (HOS) invariants for shape recognition
2000
2000
Uncertainty levels in predicted patterns of anthropogenic climate change
This paper investigates the uncertainties in different model estimates of an expected anthropogenic signal in the near-surface… 
Highly Cited
1992
Highly Cited
1992
I2− photofragmentation/recombination dynamics in size‐selected I2−(CO2)n cluster ions: Observation of coherent I...I− vibrational motion
We have employed picosecond pump–probe techniques in conjunction with a tandem time‐of‐flight mass spectrometer to investigate… 
1990
1990
Interpretation of cyclic flow variations in motored internal combustion engines
Cyclic variations and turbulence characterisation are considered in the context of in-cylinder flows. Three methods of data… 
Review
1981
Review
1981
A posteriori time-varying filtering of averaged evoked potentials
This paper forms a preface and introduction to a new method for the estimation of evoked potentials: a posteriori time-varying… 
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