Results 11 to 20 of about 16,565,874 (393)
Probability Theory and Related Fields, 2023 We study how the typical gradient and typical height of a random surface are modified by the addition of quenched disorder in the form of a random independent external field. The results provide quantitative estimates, sharp up to multiplicative constants, in the following cases.
Paul Dario, Matan Harel, Ron Peled
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Bearing capacity of eccentrically loaded strip footing on spatially variable cohesive soil
Studia Geotechnica et Mechanica, 2021 The study considers the bearing capacity of eccentrically loaded strip footing on spatially variable, purely cohesive soil. The problem is solved using the random finite element method.
Dobrzański Jędrzej, Kawa Marek
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Frontiers in Earth Science, 2022 In order to analyze the effects of rainfall events on the stability of an open-pit rock slope, with considering the spatial variability of saturated hydraulic conductivity, based on the unsaturated seepage theory and the random filed theory, modified ...
Qingqing Zhang +2 more
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Random-energy model in random fields [PDF]
Physical Review E, 2006 The random-energy model is studied in the presence of random fields. The problem is solved exactly both in the microcanonical ensemble, without recourse to the replica method, and in the canonical ensemble using the replica formalism. The phase diagrams for bimodal and Gaussian random fields are investigated in detail. In contrast to the Gaussian case,
Filho, Luiz O. de Oliveira +2 more
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Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
AAAI Conference on Artificial Intelligence, 2020 The recent growth of social networking platforms also led to the emergence of social spammers, who overwhelm legitimate users with unwanted content. The existing social spammer detection methods can be characterized into two categories: features based ...
Yongji Wu +4 more
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The Effect of Spatial Variability and Anisotropy of Soils on Bearing Capacity of Shallow Foundations [PDF]
Civil Engineering Infrastructures Journal, 2014 Naturally occurred soil deposits inherit heterogeneity and anisotropy in their strength properties. The main purpose of this paper is to model the soil stratum with anisotropy consideration and spatially varying undrained shear strength by using random ...
Reza Jamshidi Chenari, Ali Mahigir
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Analysis of family‐wise error rates in statistical parametric mapping using random field theory [PDF]
Human Brain Mapping, 2016 This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. [ ]: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract,
G. Flandin, Karl J. Friston
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IEEE Transactions on Medical Imaging, 2001 The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images.
Yongyue Zhang +2 more
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Deep Learning Markov Random Field for Semantic Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 Semantic segmentation tasks can be well modeled by Markov Random Field (MRF). This paper addresses semantic segmentation by incorporating high-order relations and mixture of label contexts into MRF.
Ziwei Liu +4 more
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Ekonomia i Prawo, 2020 Motivation: Clear spatial diversity and high variability in time of economic phenomena and the fact that they show dependencies in space and time dimensions, as well as the spatio-temporal dependencies, lead to the consideration of the phenomena in terms
Elżbieta Szulc
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