Results 21 to 30 of about 22,057,993 (342)
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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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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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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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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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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Frontiers in Climate, 2021 South Asian monsoon is a phenomena that plays out during June-September every year, due to the northward shift of the ITCZ which causes heavy rainfall over many countries of South Asia, including India.
Adway Mitra
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Probabilistic Graphical Models [PDF]
, 2014 This report presents probabilistic graphical models that are based on imprecise probabilities using a comprehensive language. In particular, the discussion is focused on credal networks and discrete domains. It describes the building blocks of credal networks, algorithms to perform inference, and discusses on complexity results and related work.
Antonucci, Alessandro +2 more
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Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach
Revstat Statistical Journal, 2006 A key aim of systems biology is to unravel the regulatory interactions among genes and gene products in a cell. Here we investigate a graphical model that treats the observed gene expression over time as realizations of random curves.
Rainer Opgen-Rhein , Korbinian Strimmer
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Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland
Frontiers in Veterinary Science, 2020 Bayesian network (BN) modeling is a rich and flexible analytical framework capable of elucidating complex veterinary epidemiological data. It is a graphical modeling technique that enables the visual presentation of multi-dimensional results while ...
Gilles Kratzer +11 more
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Cavity approximation for graphical models [PDF]
Physical Review E, 2007 Extension to factor graphs and comments on related work ...
Rizzo, T. +3 more
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