How can we select the best performing data-driven model and quantify its generalization error? This question has received a solid answer from the field of statistical inference since the last century and before [1, 2].

Introduction

Oneto L.
2020-01-01

Abstract

How can we select the best performing data-driven model and quantify its generalization error? This question has received a solid answer from the field of statistical inference since the last century and before [1, 2].
2020
978-3-030-24358-6
978-3-030-24359-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1032173
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