The Leave-one-out Kernel

Learning to predict the leave-one-out error (2000).

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A Leave-one-out Cross Validation Bound for Kernel Methods with Applications in Learning (2001)

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Efficient Leave-One-Out Cross-Validation of Kernel Fisher Discriminant Classifiers (2003)

Efficient model selection for kernel logistic regression.

Learning to predict the leave-one-out error of kernel based classifiers.

Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering

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Efficient Leave-One-Out Cross-Validation of Kernel Fisher Discriminant Classifiers (2003)

Maximum leave-one-out likelihood for kernel density estimation

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