Causal Discovery and Classification Using Lempel–Ziv Complexity

Inferring causal relationships in the decision-making processes of machine learning models is essential for advancing explainable artificial intelligence. In this work, we propose a novel causality measure and a distance metric derived from Lempel–Ziv (LZ) complexity. We explore how these measures c...

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Библиографические подробности

Главные авторы:	Dhruthi, Nithin Nagaraj, Harikrishnan Nellippallil Balakrishnan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-10-01
Серии:	Mathematics
Предметы:	causal discovery Lempel–Ziv complexity decision trees explainable AI causality information theory
Online-ссылка:	https://www.mdpi.com/2227-7390/13/20/3244
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