保形e-prediction

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Vladimir Vovk
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引用次数: 0

摘要

本文讨论了e值的保形预测,即保形预测。保形预测在概念上更简单,在20世纪90年代作为保形预测的先驱发展起来。当保形预测作为用p值代替e值的结果出现时,它似乎比保形e预测有重要的优势,而没有明显的缺点。本文从现代的角度系统地重新考察了保形预测与保形电子预测的关系。共形电子预测有其自身的优势,例如易于设计条件共形电子预测器和保证交叉共形电子预测器的有效性(而交叉共形预测器的有效性只是一个经验事实,可能会因过度随机化而被打破)。即使在适形预测具有明显优势的地方,适形电子预测通常也能或多或少成功地模仿这些优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conformal e-prediction
This paper discusses a counterpart of conformal prediction for e-values, conformal e-prediction. Conformal e-prediction is conceptually simpler and had been developed in the 1990s as a precursor of conformal prediction. When conformal prediction emerged as result of replacing e-values by p-values, it seemed to have important advantages over conformal e-prediction without obvious disadvantages. This paper re-examines relations between conformal prediction and conformal e-prediction systematically from a modern perspective. Conformal e-prediction has advantages of its own, such as the ease of designing conditional conformal e-predictors and the guaranteed validity of cross-conformal e-predictors (whereas for cross-conformal predictors validity is only an empirical fact and can be broken with excessive randomization). Even where conformal prediction has clear advantages, conformal e-prediction can often emulate those advantages, more or less successfully.
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来源期刊
Pattern Recognition
Pattern Recognition 工程技术-工程:电子与电气
CiteScore
14.40
自引率
16.20%
发文量
683
审稿时长
5.6 months
期刊介绍: The field of Pattern Recognition is both mature and rapidly evolving, playing a crucial role in various related fields such as computer vision, image processing, text analysis, and neural networks. It closely intersects with machine learning and is being applied in emerging areas like biometrics, bioinformatics, multimedia data analysis, and data science. The journal Pattern Recognition, established half a century ago during the early days of computer science, has since grown significantly in scope and influence.
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