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… (More)
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Highly Cited
2017
Highly Cited
2017
Despite their massivesize, successful deep artificial neural networkscan exhibit a remarkably small differencebetween training… (More)
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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… (More)
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Highly Cited
2004
Highly Cited
2004
We prove generalization error bounds for predicting entries in a partially observed matrix by approximating the observed entries… (More)
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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… (More)
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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… (More)
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Highly Cited
2002
Highly Cited
2002
We explore in some detail the notion of algorith­ mic stability as a viable framework for analyzing the generalization error of… (More)
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Highly Cited
2000
Highly Cited
2000
We prove new probabilistic upper bounds on generalization error of complex classi ers that are combinations of simple classi ers… (More)
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Highly Cited
1999
Highly Cited
1999
In order to compare learning algorithms, experimental results reported in the machine learning literature often use statistical… (More)
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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… (More)
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Highly Cited
1992
Highly Cited
1992
This paper pr oves that it is impossible to justify a corre latio n between rep roducti on of a training set and generali zation… (More)
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