Articles with "block model" as a keyword



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The stochastic topic block model for the clustering of vertices in networks with textual edges

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Published in 2018 at "Statistics and Computing"

DOI: 10.1007/s11222-016-9713-7

Abstract: Due to the significant increase of communications between individuals via social media (Facebook, Twitter, Linkedin) or electronic formats (email, web, e-publication) in the past two decades, network analysis has become an unavoidable discipline. Many random… read more here.

Keywords: model; topic block; textual edges; networks textual ... See more keywords
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Considerations on scaling behavior in avalanche flow: Implementation in a simple mass block model

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Published in 2020 at "Cold Regions Science and Technology"

DOI: 10.1016/j.coldregions.2020.103165

Abstract: Abstract Observations of runout distances combined with velocity measurements suggest that “major” dry-mixed avalanches show a scale invariance to the total drop height HSC. This is in accordance to the proposed upper-limit envelope of the… read more here.

Keywords: block model; model; simple mass; mass block ... See more keywords
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Effect of the numerical viscosity on reproduction of mean and turbulent flow fields in the case of a 1:1:2 single block model

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Published in 2019 at "Journal of Wind Engineering and Industrial Aerodynamics"

DOI: 10.1016/j.jweia.2019.06.013

Abstract: Abstract Large-eddy simulations were performed for the velocity fields around a 1:1:2 single block model to clarify the effect of the numerical viscosity in different advection schemes. Six types of advection schemes with different numerical… read more here.

Keywords: effect numerical; block model; scheme; single block ... See more keywords
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On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization

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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"

DOI: 10.1016/j.physa.2018.02.068

Abstract: Community structures detection in complex network is important for understanding not only the topological structures of the network, but also the functions of it. Stochastic block model and nonnegative matrix factorization are two widely used… read more here.

Keywords: model; nonnegative matrix; matrix factorization; stochastic block ... See more keywords
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How sensitive are mountain glaciers to climate change? Insights from a block model

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Published in 2018 at "Journal of Glaciology"

DOI: 10.1017/jog.2018.15

Abstract: ABSTRACT Simple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two… read more here.

Keywords: response; volume; model; climate change ... See more keywords
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Large deviations of semisupervised learning in the stochastic block model.

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Published in 2022 at "Physical review. E"

DOI: 10.1103/physreve.105.034108

Abstract: In semisupervised community detection, the membership of a set of revealed nodes is known in addition to the graph structure and can be leveraged to achieve better inference accuracies. While previous works investigated the case… read more here.

Keywords: block model; deviations semisupervised; large deviations; stochastic block ... See more keywords
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Systematic assessment of the quality of fit of the stochastic block model for empirical networks.

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Published in 2022 at "Physical review. E"

DOI: 10.1103/physreve.105.054311

Abstract: We perform a systematic analysis of the quality of fit of the stochastic block model (SBM) for 275 empirical networks spanning a wide range of domains and orders of size magnitude. We employ posterior predictive… read more here.

Keywords: quality fit; fit stochastic; block model; stochastic block ... See more keywords
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Finite size analysis of the detectability limit of the stochastic block model

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Published in 2017 at "Physical Review E"

DOI: 10.1103/physreve.95.062304

Abstract: It has been shown in recent years that the stochastic block model is sometimes undetectable in the sparse limit, i.e., that no algorithm can identify a partition correlated with the partition used to generate an… read more here.

Keywords: finite size; block model; stochastic block; detectability ... See more keywords
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Estimation of the Number of Communities in the Stochastic Block Model

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Published in 2020 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2020.3016331

Abstract: In this article we introduce an estimator for the number of communities in the Stochastic Block Model (SBM), based on the maximization of a penalized version of the so-called Krichevsky-Trofimov mixture distribution. We prove its… read more here.

Keywords: communities stochastic; number; block model; estimation number ... See more keywords
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Two-block model of a digital corrector for linearization of an analog radio channel

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Published in 2017 at "Journal of Communications Technology and Electronics"

DOI: 10.1134/s1064226917070014

Abstract: A two-block model of an analog radio channel of a digital communication system is proposed. Problems of identification of the model of the data transmission channel and synthesis of a digital precorrector for adaptive linearization… read more here.

Keywords: radio channel; block; analog radio; two block ... See more keywords
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Refined Rigid Block Model for In-Plane Loaded Masonry

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Published in 2020 at "Advances in Civil Engineering"

DOI: 10.1155/2020/8844759

Abstract: In this work, a refined rigid block model is proposed for studying the in-plane behavior of regular masonry. The rigid block model is based on an existing discrete/rigid model with rigid blocks and elastoplastic interfaces… read more here.

Keywords: refined rigid; model; masonry; block model ... See more keywords