Approximation to Second Order N-Electron Valence State Perturbation Theory: Limiting the Wave Function within Singles. [PDF]
J Chem Theory ComputGuo Y, Pernal K.
europepmc +1 more source
Civil Engineering Design, EarlyView.Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer +13 more
wiley +1 more source
Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]
J Phys ComplexJones B, Wei GW.
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Automatic inventory of retaining walls from aerial lidar data using 3D deep learning
Civil Engineering Design, EarlyView.Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini +2 more
wiley +1 more source
Dynamic fractional-order ISDR rumor propagation model incorporating refutation mechanism in complex networks. [PDF]
Sci RepZhu W.
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A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, EarlyView.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
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A Two-Level Preconditioner for the CASSCF Linear-Response Equations. [PDF]
J Phys Chem AHelmich-Paris B.
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Robust multitask feature learning with adaptive Huber regressions
Canadian Journal of Statistics, EarlyView.Abstract When data from multiple tasks have outlier contamination, existing multitask learning methods perform less efficiently. To address this issue, we propose a robust multitask feature learning method by combining the adaptive Huber regression tasks with mixed regularization. The robustification parameters can be chosen to adapt to the sample size,
Yuan Zhong, Xin Gao, Wei Xu
wiley +1 more source
Design and Reprogrammability of Zero Modes in 2D Materials from a Single Element. [PDF]
Adv Sci (Weinh)Revier D, Carton M, Lipton JI.
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Convergence properties of dynamic mode decomposition for analytic interval maps
Communications on Pure and Applied Mathematics, EarlyView.Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source