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Model Selection and Error Estimation in a Nutshell

Luca Oneto

How can we select the best performing data-driven model?How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper...

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