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Generalization error

Known as: Generalisation error, Generalization (disambiguation) 
In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small difference between training… Expand
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Highly Cited
2005
Highly Cited
2005
A common assumption in supervised learning is that the training and test input points follow the same probability distribution… Expand
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Highly Cited
2004
Highly Cited
2004
In order to compare learning algorithms, experimental results reported in the machine learning literature often use statistical… Expand
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Highly Cited
2004
Highly Cited
2004
Bagging (Breiman, 1994a) is a technique that tries to improve a learning algorithm's performance by using bootstrap replicates of… Expand
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Highly Cited
2003
Highly Cited
2003
Bayesian approaches to learning and estimation have played a significant role in the Statistics literature over many years. While… Expand
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Highly Cited
2002
Highly Cited
2002
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds… Expand
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Highly Cited
2002
Highly Cited
2002
We prove new probabilistic upper bounds on generalization error of complex classifiers that are combinations of simple… Expand
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Highly Cited
2002
Highly Cited
2002
We explore in some detail the notion of algorithmic stability as a viable framework for analyzing the generalization error of… Expand
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Highly Cited
1996
Highly Cited
1996
  • N. Ueda, R. Nakano
  • Proceedings of International Conference on Neural…
  • 1996
  • Corpus ID: 61567032
It has been empirically shown that a better estimate with less generalization error can be obtained by averaging outputs of… Expand
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Highly Cited
1992
Highly Cited
1992
This paper introduces stacked generalization, a scheme for minimizing the generalization error rate of one or more generalizers… Expand
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