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116
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COLT
1999
Springer
138
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Machine Learning
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COLT 1999
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Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
15 years 7 months ago
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hunch.net
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...
Avrim Blum, Adam Kalai, John Langford
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