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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… 
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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… 
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… 
Highly Cited
2004
Highly Cited
2004
In order to compare learning algorithms, experimental results reported in the machine learning literature often use statistical… 
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… 
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… 
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… 
Highly Cited
2002
Highly Cited
2002
We prove new probabilistic upper bounds on generalization error of complex classifiers that are combinations of simple… 
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… 
Highly Cited
1996
Highly Cited
1996
  • N. UedaR. Nakano
  • International Conference on Neural Networks
  • 1996
  • Corpus ID: 61567032
It has been empirically shown that a better estimate with less generalization error can be obtained by averaging outputs of… 
Highly Cited
1992
Highly Cited
1992