Reliability in Machine Learning

IF 2.4 1区 哲学 0 PHILOSOPHY
Thomas Grote, Konstantin Genin, Emily Sullivan
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引用次数: 0

Abstract

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.
机器学习的可靠性
可靠性问题正成为机器学习认识论的中心议题。本文统一了文献中的不同分支,指出了有前景的研究方向,同时还对统计学和机器学习中与可靠性有关的关键概念作了通俗易懂的介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Philosophy Compass
Philosophy Compass Arts and Humanities-Philosophy
CiteScore
3.50
自引率
0.00%
发文量
87
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