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Oct, 2021
符号语言基础:模型解释性
Foundations of Symbolic Languages for Model Interpretability
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Marcelo Arenas, Daniel Baez, Pablo Barceló, Jorge Pérez, Bernardo Subercaseaux
TL;DR
本研究基于FOIL逻辑构建了声明式语言用于自然特定不同解释性查询,并且研究了FOIL查询的计算复杂度,为解释可解释的ML模型提供了可行的路径。
Abstract
Several queries and scores have recently been proposed to explain individual predictions over
ml models
. Given the need for flexible, reliable, and easy-to-apply interpretability methods for
ml models
, we foresee
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