Results 11 to 20 of about 1,268,383 (321)
Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs
IEEE Access, 2021 Learning multiple related graphs from many distributed and privacy-required resources is an important and common task in neuroscience applications. Medical researchers can comprehensively investigate the diagnostic evidence and understand the cause of ...
Xiao Tan, Tianyi Ma, Tongtong Su
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Transforming Graphical System Models to Graphical Attack Models [PDF]
, 2016 Manually identifying possible attacks on an organisation is a complex undertaking; many different factors must be considered, and the resulting attack scenarios can be complex and hard to maintain as the organisation changes. System models provide a systematic representation of organisations that helps in structuring attack identification and can ...
Ivanova, Marieta Georgieva +3 more
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Inferring Differential Networks by Integrating Gene Expression Data With Additional Knowledge
Frontiers in Genetics, 2021 Evidences increasingly indicate the involvement of gene network rewiring in disease development and cell differentiation. With the accumulation of high-throughput gene expression data, it is now possible to infer the changes of gene networks between two ...
Chen Liu +3 more
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Axioms, 2022 This paper shows a visual analysis and the dependence relationships of COVID-19 mortality data in 50 states plus Washington, D.C., from January 2020 to 1 September 2022.
Jong-Min Kim
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Probabilistic Community Using Link and Content for Social Networks
IEEE Access, 2017 Community detection is one of the most important problems in social network analysis in the context of the structure of underlying graphs. Many researchers have proposed methods, which only consider the network structure of social networks, for ...
Shuai Zhao, Le Yu, Bo Cheng
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Mathematics, 2022 Strong exogeneity is an important assumption in the study of causal inference, but it is difficult to identify according to its definition. The twin network method provides a graphical model tool for analyzing the variable relationship, involving the ...
Rui Luo +4 more
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Graphic Models of Nicknames in the German-Speaking Internet-Space
Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, 2015 The object of the study is a specific anthroponymic element of the onomastic system in German – the network name (nickname) and its representation in the German section of the Internet.
Viktoriya Viktorovna Kazyaba
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Interpretation of 3-D scene through LiDAR point clouds has been a hot research topic for decades. To utilize measured points in the scene, assigning unique tags to the points of the scene with labels linking to individual objects plays a crucial role in ...
Yusheng Xu +6 more
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Incomplete graphical model inference via latent tree aggregation [PDF]
, 2018 Graphical network inference is used in many fields such as genomics or ecology to infer the conditional independence structure between variables, from measurements of gene expression or species abundances for instance.
Ambroise, Christophe +2 more
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Projective Latent Dependency Forest Models
IEEE Access, 2019 Latent dependence forest models (LDFM) are a new type of probabilistic models with the advantage of not requiring the difficult procedure of structure learning in model learning.
Yong Jiang, Yang Zhou, Kewei Tu
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