Bootstrapping

A method for estimating properties of a dataset by measuring those properties when sampling from an approximating distribution.
National Institutes of Health

Papers overview

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Highly Cited
2015
Highly Cited
2015
Current state-of-the-art deep learning systems for visual object recognition and detection use purely supervised training with… (More)
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Highly Cited
2010
Highly Cited
2010
Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly… (More)
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Highly Cited
2009
Highly Cited
2009
Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000… (More)
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Highly Cited
2009
Highly Cited
2009
The "wisdom of crowds" in making judgments about the future or other unknown events is well established. The average quantitative… (More)
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Highly Cited
2007
Highly Cited
2007
Iterative bootstrapping techniques are commonly used to extract lexical semantic resources from raw text. Their major weakness is… (More)
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Highly Cited
2003
Highly Cited
2003
Bayesian Markov chain Monte Carlo sampling has become increasingly popular in phylogenetics as a method for both estimating the… (More)
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Highly Cited
2003
Highly Cited
2003
Automatic intelligent web exploration will benefit from shallow information extraction techniques if the latter can be brought to… (More)
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Highly Cited
2001
Highly Cited
2001
We introduce a general technique for making statistical inference from clustering tools applied to gene expression microarray… (More)
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Highly Cited
2001
Highly Cited
2001
A 1-V 1-mW 14-bit modulator in a standard CMOS 0.35m technology is presented. Special attention has been given to device… (More)
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Highly Cited
1999
Highly Cited
1999
The paper reports on experiments with a population of visually grounded robotic agents capable of bootstrapping their own… (More)
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