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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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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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Frontiers in Genetics, 2019 High-throughput microbial sequencing techniques, such as targeted amplicon-based and metagenomic profiling, provide low-cost genomic survey data of microbial communities in their natural environment, ranging from marine ecosystems to host-associated ...
Grace Yoon +2 more
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Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models
Mathematics, 2023 Graphical log-linear models are effective for representing complex structures that emerge from high-dimensional data. It is challenging to fit an appropriate model in the high-dimensional setting and many existing methods rely on a convenient class of ...
Lyndsay Roach, Xin Gao
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A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
Journal of the American Statistical Association, 2018 We introduce a nonparametric graphical model whose observations on vertices are functions. Many modern applications, such as electroencephalogram and functional magnetic resonance imaging (fMRI), produce data are of this type.
Bing Li, Eftychia Solea
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Investigating effective wayfinding in airports: a Bayesian network approach
Transport, 2014 Effective wayfinding is the successful interplay of human and environmental factors resulting in a person successfully moving from their current position to a desired location in a timely manner. To date this process has not been modelled to reflect this
Anna Charisse Farr +4 more
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Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data
IEEE Access, 2020 The sparse Cholesky parametrization of the inverse covariance matrix is directly related to Gaussian Bayesian networks. Its counterpart, the covariance Cholesky factorization model, has a natural interpretation as a hidden variable model for ordered ...
Irene Cordoba +3 more
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Vehicles, 2023 Computer vehicle simulators are used to model real-world situations to overcome time and cost limitations. The vehicle simulators provide virtual scenarios for real-world driving.
Su Man Nam +4 more
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DragDL:An Easy-to-Use Graphical DL Model Construction System [PDF]
Jisuanji kexue, 2021 Deep learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in ...
TANG Shi-zheng, ZHANG Yan-feng
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