Results 51 to 60 of about 22,758,545 (367)
Gaussian graphical model estimation with false discovery rate control [PDF]
, 2013 This paper studies the estimation of high dimensional Gaussian graphical model (GGM). Typically, the existing methods depend on regularization techniques. As a result, it is necessary to choose the regularized parameter. However, the precise relationship
Weidong Liu
semanticscholar +1 more source
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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Parametric Inference for Biological Sequence Analysis [PDF]
, 2004 One of the major successes in computational biology has been the unification, using the graphical model formalism, of a multitude of algorithms for annotating and comparing biological sequences.
B. Sturmfels +5 more
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Stratified Graphical Models - Context-Specific Independence in Graphical Models
Bayesian Analysis, 2014 19 pages, 7 png figures. In version two the women and mathematics example is replaced with a parliament election data example.
Nyman, Henrik +3 more
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, 2023 Probabilistic Graphical Models are often used to understand dynamics of a system. They can model relationships between features (nodes) and the underlying distribution. Theoretically these models can represent very complex dependency functions, but in practice often simplifying assumptions are made due to computational limitations associated with graph
Shrivastava, Harsh, Chajewska, Urszula
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Coupled graphical models and their thresholds [PDF]
2010 IEEE Information Theory Workshop, 2010 The excellent performance of convolutional low-density parity-check codes is the result of the spatial coupling of individual underlying codes across a window of growing size, but much smaller than the length of the individual codes. Remarkably, the belief-propagation threshold of the coupled ensemble is boosted to the maximum-a-posteriori one of the ...
Hassani, S. Hamed +2 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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Annals of Medicine, 2023 Background Probabilistic graphical modelling (PGM) can be used to predict risk at the individual patient level and show multiple outcomes and exposures in a single model.Objective To develop PGM for the prediction of clinical outcome in patients with ...
Dong Ah Shin +6 more
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raxmlGUI 2.0: A graphical interface and toolkit for phylogenetic analyses using RAxML
Methods in Ecology and Evolution, 2020 raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used softwares for phylogenetic inference using maximum likelihood. Here we present raxmlGUI 2.0, a complete rewrite of the GUI which seamlessly integrates RAxML binaries
Daniel Edler +3 more
semanticscholar +1 more source
A methodological framework for the morphometric analysis of the fluvial islets along the Danube River in the Giurgiu – Oltenita sector [PDF]
GeoPatterns, 2016 This paper presents a methodology exclusively based on using the Open Source GIS Technology for the morphometric analysis of the fluvial islets along the Danube course.
Andreea-Florentina Marin
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