Results 11 to 20 of about 461,959 (266)
In discrete dynamical system $(X, f)$ where $X$ is a topological space and $f \in C(X,X)$, three notions of distributional chaos were defined. They were denoted by $DC1, DC2$ and $DC3$. For interval systems such three notions coincide and they will be denoted by DC-chaos. Generally speaking we have $DC1 \subseteq DC2 \subseteq DC3$-chaos.
Francisco Balibrea, Lenka Rucká
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Local Distributed Decision [PDF]
A central theme in distributed network algorithms concerns understanding and coping with the issue of locality. Inspired by sequential complexity theory, we focus on a complexity theory for distributed decision problems. In the context of locality, solving a decision problem requires the processors to independently inspect their local neighborhoods and
Fraigniaud, Pierre +2 more
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Locality and availability in distributed storage [PDF]
Submitted to ISIT ...
Ankit Singh Rawat +3 more
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On locality in distributed storage systems [PDF]
Submitted to the IEEE Information Theory Workshop (ITW ...
Ankit Singh Rawat, Sriram Vishwanath
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The Locality of Distributed Symmetry Breaking [PDF]
Symmetry-breaking problems are among the most well studied in the field of distributed computing and yet the most fundamental questions about their complexity remain open. In this article we work in the LOCAL model (where the input graph and underlying distributed network are identical) and study the randomized ...
Leonid Barenboim +3 more
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Multidimensional local theorem in the Knopfmachers semigroup
In the presentpaper a multidimensionallocal theorem for arithmetic functions definedin the Knopfmachers semigroup G is obtained.
Rimantas Skrabutėnas
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With the increasing availability of spatially extensive geo-referenced data, much attention has been paid to the use of local statistics to identify local patterns of spatial association, in which the null distributions of local statistics play an ...
Chang-Lin Mei, Shou-Fang Xu, Feng Chen
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In traditional machine learning, the training and testing data are assumed to come from the same independent and identical distributions. This assumption, however, does not hold up in real-world applications, as differences between the training and ...
Obsa Gilo +3 more
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A Locally Adaptive Normal Distribution [PDF]
The multivariate normal density is a monotonic function of the distance to the mean, and its ellipsoidal shape is due to the underlying Euclidean metric. We suggest to replace this metric with a locally adaptive, smoothly changing (Riemannian) metric that favors regions of high local density. The resulting locally adaptive normal distribution (LAND) is
Georgios Arvanitidis +2 more
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Many phenomena in geometry and analysis can be explained via the theory of $D$-modules, but this theory explains close to nothing in the non-archimedean case, by the absence of integration by parts. Hence there is a need to look for alternatives.
AVRAHAM AIZENBUD, RAF CLUCKERS
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