Reliability in Machine Learning

被引：4

作者：

Grote, Thomas ^{[1
]}

Genin, Konstantin ^{[1
]}

Sullivan, Emily ^{[2
]}

机构：

[1] Univ Tubingen, Cluster Excellence Machine Learning New Perspect S, Maria Linden Str 6, D-72076 Tubingen, Germany

[2] Univ Utrecht, Dept Theoret Philosophy, Utrecht, Netherlands

来源：

PHILOSOPHY COMPASS | 2024年 / 19卷 / 05期

关键词：

MODELS;

D O I：

10.1111/phc3.12974

中图分类号：

B [哲学、宗教];

学科分类号：

01 ; 0101 ;

摘要：

Issues of reliability are claiming center-stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning - as far as they are concerned with reliability.

引用

页数：11

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