Results 31 to 40 of about 422,581 (268)
Entropy, 2016 The Koszul–Vinberg characteristic function plays a fundamental role in the theory of convex cones. We give an explicit description of the function and related integral formulas for a new class of convex cones, including homogeneous cones and cones ...
Hideyuki Ishi
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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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Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Equivalence model: A new graphical model for causal inference [PDF]
Epidemiology and Health, 2020 Although several causal models relevant to epidemiology have been proposed, a key question that has remained unanswered is why some people at high-risk for a particular disease do not develop the disease while some people at low-risk do develop it.
Jalal Poorolajal
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Graph-based multivariate conditional autoregressive models
Statistical Theory and Related Fields, 2019 The conditional autoregressive model is a routinely used statistical model for areal data that arise from, for instances, epidemiological, socio-economic or ecological studies.
Ye Liang
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Community Detection in Social Networks Considering Social Behaviors
IEEE Access, 2022 The study of community detection in networks has drawn great attention in recent years. To find communities and to understand community semantics, both network topology and network content are utilized. Unfortunately, none of them can explain the driving
Yingkui Wang +4 more
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, 2010 Visual models help to understand complex systems. However, with the user interaction paradigms established today, activities such as creating, maintaining or browsing visual models can be very tedious. Valuable engineering time is wasted with archaic activities such as manual placement and routing of nodes and edges. This report presents an approach to
Fuhrmann, Hauke, von Hanxleden, Reinhard
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Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs
IEEE Access, 2019 Three different models of the game of Go are developed by establishing an analogy between this game and physical systems susceptible to analysis under the well-known Ising model in two dimensions. The Ising Hamiltonian is adapted to measure the energy of
Alfonso Rojas-Dominguez +2 more
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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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, 2016 Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables. The count-min (CM) sketch is a popular approach to estimating probabilities in high-cardinality data but it does
Branislav Kveton +5 more
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