Results 31 to 40 of about 451,043 (309)
Causality matters in medical imaging [PDF]
Nature Communications, 2019 Causal reasoning can shed new light on the major challenges in machine learning for medical imaging: scarcity of high-quality annotated data and mismatch between the development dataset and the target environment.
Daniel Coelho de Castro +2 more
semanticscholar +1 more source
Causal KL: Evaluating Causal Discovery
CoRR, 2021 26 ...
Rodney T. O'Donnell +2 more
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Causality and Unification: How Causality Unifies Statistical Regularities
Theoria, 2015 Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.
Gerhard Schurz
doaj +1 more source
Resources policy, 2020 With many commodity and financial markets reportedly experiencing poor performances during this COVID-19 pandemic, this study intends to examine the effect of the pandemic on the connectedness among the markets.
O. Adekoya, J. Oliyide
semanticscholar +1 more source
Causal-learn: Causal Discovery in Python
J. Mach. Learn. Res., 2023 Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing a comprehensive collection of causal discovery methods to both practitioners and researchers.
Yujia Zheng 0001 +8 more
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K-Causality Coincides with Stable Causality [PDF]
Communications in Mathematical Physics, 2009 It is proven that K-causality coincides with stable causality, and that in a K-causal spacetime the relation K^+ coincides with the Seifert's relation. As a consequence the causal relation "the spacetime is strongly causal and the closure of the causal relation is transitive" stays between stable causality and causal continuity.
openaire +2 more sources
Causal Inference with Deep Causal Graphs
CoRR, 2020 Supplementary material can be found in https://github.com/aparafita/dcg ...
Álvaro Parafita, Jordi Vitrià
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Causality and micro-causality in curved spacetime [PDF]
Physics Letters B, 2007 We consider how causality and micro-causality are realised in QED in curved spacetime. The photon propagator is found to exhibit novel non-analytic behaviour due to vacuum polarization, which invalidates the Kramers-Kronig dispersion relation and calls into question the validity of micro-causality in curved spacetime. This non-analyticity is ultimately
Timothy Hollowood, Graham Shore
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Causal imprinting in causal structure learning [PDF]
Cognitive Psychology, 2012 Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C followed ...
Eric G, Taylor, Woo-Kyoung, Ahn
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From Causal Pairs to Causal Graphs
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 Causal structure learning from observational data remains a non-trivial task due to various factors such as finite sampling, unobserved confounding factors, and measurement errors. Constraint-based and score-based methods tend to suffer from high computational complexity due to the combinatorial nature of estimating the directed acyclic graph (DAG ...
Rezaur Rashid +2 more
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