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We provide a unified analysis of the predictive risk of ridge regression and regularized discriminant analysis in a dense random effects model.
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Statistical and Neural Classifiers: An integrated approach to design
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Baselines and bigrams: Simple, good sentiment and topic classification
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Cross-study validation for the assessment of prediction algorithms
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Random design analysis of ridge regression
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