Results 261 to 270 of about 106,090 (293)

Improved convergent cross mapping method for causal inference based on decomposition of the Lorenz trajectory. [PDF]

Sci Rep
Sunu Z, Ma J, He B, Gan X, Da C.
europepmc   +1 more source

Data augmentation of event causality identification task with pre-trained language models. [PDF]

Sci Rep
Chun Y, Ha S, Bai J.
europepmc   +1 more source

Safety profile following mRNA-1273 COVID-19 primary vaccination in healthy adults in Indonesia. [PDF]

Glob Epidemiol
Medise BE, Kaswandani N, Putri ND, Leonard E, Angkasa PF, Putra A, Muliasari R, Indriani V, Yosephine P, Sundoro J, Satari HI, Hadinegoro SR.   +11 more
europepmc   +1 more source

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A generalized definition of Bell’s local causality

SynthÈse, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabor Hofer-Szabó, Peter Vecsernyés, Hofer-Szabó Gabor   +2 more
exaly   +2 more sources

Quantum Theory and Local Causality

SpringerBriefs in Philosophy, 2018
This book summarizes the results of research the authors have pursued in the past years on the problem of implementing Bell's notion of local causality in local physical theories and relating it to other important concepts and principles in the ...
Gabor Hofer-Szabó, Peter Vecsernyés
exaly   +4 more sources

Localized Reliable Causal Multicast

2019 IEEE 18th International Symposium on Network Computing and Applications (NCA), 2019
This paper addresses the problem of offering reliable causal multicast in a setting where nodes are organized in an overlay network and use this network to disseminate information among each other. The use of overlay networks for this purpose is widely used when the number of nodes is large.
Válter Santos, Luís Rodrigues 0001
openaire   +1 more source

Locality, causality and continuations

ACM SIGPLAN Lisp Pointers, 1994
Concurrency and distribution are topics exacerbated by the omnipresence of Internet. Although many languages address these topics, few offer a real opportunity to control and coordinate widely spread dynamic computations. This paper presents such a language and its prominent features.
openaire   +1 more source

Local Causal Discovery Without Causal Sufficiency

Proceedings of the AAAI Conference on Artificial Intelligence
Local causal discovery is crucial for revealing the causal relationships between specific variables from data. Existing local causal discovery algorithms are designed under the assumption of causal sufficiency, which states that there are no latent common causes for two or more of the observed variables in data.
Zhaolong Ling, Jiale Yu, Yiwen Zhang 0001, Debo Cheng, Peng Zhou 0006, Xingyu Wu, Bingbing Jiang 0001, Kui Yu   +7 more
openaire   +3 more sources

Bell’s Local Causality is a d-Separation Criterion

Springer Proceedings in Mathematics and Statistics, 2018
This paper aims to motivate Bell’s notion of local causality by means of Bayesian networks. In a locally causal theory any superluminal correlation should be screened off by atomic events localized in any so-called shielder-off region in the past of one ...
Gabor Hofer-Szabó, Hofer-Szabó Gabor
exaly   +2 more sources