Bootstrap aggregating

Known as: Bootstrap aggregation, Bootstrapped Aggregation, Bootstrapping 
Bootstrap aggregating, also called bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine… (More)
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Topic mentions per year

Topic mentions per year

1998-2018
051019982018

Papers overview

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2016
2016
Computer-aided sleep staging based on single channel electroencephalogram (EEG) is a prerequisite for a feasible low-power… (More)
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2016
2016
BACKGROUND AND OBJECTIVE Epileptic seizure detection is traditionally performed by expert clinicians based on visual observation… (More)
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2012
2012
The paper describes our system of Shared Task on Parsing the Web. We only participate in dependency parsing task. A number of… (More)
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2011
2011
We present a new weighted voting classification ensemble method, called WAVE, that uses two weight vectors: a weight vector of… (More)
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2011
2011
We present a novel approach for density estimation using Bayesian networks when faced with scarce and partially observed data… (More)
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2008
2008
MOTIVATION Regulatory proteases modulate proteomic dynamics with a spectrum of specificities against substrate proteins… (More)
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2005
2005
Glaucoma is the second most common cause of blindness worldwide. Low awareness and high costs connected to glaucoma are reasons… (More)
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Highly Cited
2003
Highly Cited
2003
A resampling scheme for clustering with similarity to bootstrap aggregation (bagging) is presented. Bagging is used to improve… (More)
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2003
2003
The combination of classi"ers leads to substantial reduction of misclassi"cation error in a wide range of applications and… (More)
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1998
1998
1 I n t r o d u c t i o n The mos t common t a sk addressed in machine learn ing is t h a t of l ea rn ing a classifier f rom a t… (More)
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