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DISCOVERY OF CAUSALITY POSSIBILITIES
International Journal of Pattern Recognition and Artificial Intelligence, 2004Determining causality has been a tantalizing goal throughout human history. Proper sacrifices to the gods were thought to bring rewards; failure to make suitable observations were thought to lead to disaster. Today, data mining holds the promise of extracting unsuspected information from very large databases.
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D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery
ACM Computing Surveys, 2023Matthew J Vowels, Richard Bowden
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Causal Discovery and Causal Effect Identification
Understanding how changes in an environment affect outcomes is at the core of causal inference. Unlike standard prediction tasks that capture associations between variables, causal inference aims to reveal what happens when we intervene in a system. In this field, there is a common pipeline consisting of two main problems: causal discovery and causal ...openaire +1 more source
A Survey on Causal Discovery: Theory and Practice
International Journal of Approximate Reasoning, 2022Alessio Zanga, Fabio Stella
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Methods and tools for causal discovery and causal inference
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022Ana Rita Nogueira +2 more
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Large-scale chemical process causal discovery from big data with transformer-based deep learning
Chemical Engineering Research and Design, 2023Xiaotian Bi, Deyang Wu, Jinsong Zhao
exaly
Practically Applicable Causal Discovery
This thesis focuses on discovering causal dependencies from observational data, which is one of the most fundamental problems in science. In particular, causal discovery aims to discover directed graphs among a set of observed random variables under specified assumptions.openaire +1 more source
Causal inference in drug discovery and development
Drug Discovery Today, 2023Tom Michoel, Jitao David Zhang
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Causal discovery and the problem of psychological interventions
New Ideas in Psychology, 2020Markus I Eronen
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