Results 221 to 230 of about 102,068 (255)
From spatial maps to therapeutic targets: Next challenge for artificial intelligence in cancer spatial omics. [PDF]
Xu H, Zhang Y, Ren Y, Luo P, Zhu H.
europepmc +1 more source
Ion Channel-Rho GTPase Coupling in Human Odontogenesis: Integrative Structural and Network Dissection of TRIO and CACNA2D2 Variants From Familial Tooth Agenesis. [PDF]
Nabbout F +3 more
europepmc +1 more source
Euclidean-Lorentzian Dichotomy and Algebraic Causality in Finite Ring Continuum. [PDF]
Akhtman Y.
europepmc +1 more source
Relating Bell’s Local Causality to the Causal Markov Condition [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabor Hofer-Szabó, Hofer-Szabó Gabor
exaly +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A generalized definition of Bell’s local causality
SynthÈse, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabor Hofer-Szabó +2 more
exaly +2 more sources
Localized Reliable Causal Multicast
2019 IEEE 18th International Symposium on Network Computing and Applications (NCA), 2019This 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, 1994Concurrency 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 IntelligenceLocal 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 +7 more
openaire +1 more source
Heritability, causal influence and locality
Synthese, 2019Heritability is routinely interpreted causally. Yet, what such an interpretation amounts to is often unclear. Here, I provide a causal interpretation of this concept in terms of range of causal influence, one of several causal dimensions proposed within the interventionist account of causation.
openaire +1 more source

