Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Olaf Schenk"'
Autor:
Liane Simon, Friederike Gölz, Olaf Schenk, Thorsten Bührmann, Mathias Kauff, Olaf Kraus de Camargo, Stefanus Snyman, George Lüers, Britta Wulfhorst
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 5 (2024)
At the ICF Research Institute (at MSH Medical School Hamburg) multiprofessional experts collaborate on various research projects with a focus on bio-psycho-social health and education. Initially, the main goal was monitoring and evaluating the implem
Externí odkaz:
https://doaj.org/article/2f2afcf85b694945a6020ef4ac1ce8dc
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-28 (2021)
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models. It is a non-sampling based framework which provides approximate results
Externí odkaz:
https://doaj.org/article/919714aae88f4c4da65f3c4d39af594d
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-13
Learning graphs represented by M-matrices via an l1-regularized Gaussian maximum-likelihood method is a popular approach, but also one that poses computational challenges for large scale datasets. Recently proposed methods cast this problem as a cons
Autor:
Illia Horenko, Edoardo Vecchi, Juraj Kardoš, Andreas Wächter, Olaf Schenk, Terence J. O’Kane, Patrick Gagliardini, Susanne Gerber
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Regression learning is one of the long-standing problems in statistics, machine learning, and deep learning (DL). We show that writing this problem as a probabilistic expectation over (unknown) feature probabilities – thus increasing the number of
Publikováno v:
Statistics and Computing. 33
There is a growing demand for performing larger-scale Bayesian inference tasks, arising from greater data availability and higher-dimensional model parameter spaces. In this work we present parallelization strategies for the methodology of integrated
Publikováno v:
Machine Learning. 111:791-829
Nonlinear reformulations of the spectral clustering method have gained a lot of recent attention due to their increased numerical benefits and their solid mathematical background. We present a novel direct multiway spectral clustering algorithm in th
Autor:
Olaf, Schenk
Publikováno v:
International journal of computerized dentistry. 25(4)
Publikováno v:
Applied Numerical Mathematics. 162:265-282
Many application problems that lead to solving linear systems make use of preconditioned Krylov subspace solvers to compute their solution. Among the most popular preconditioning approaches are incomplete factorization methods either as single-level
Publikováno v:
PADUA. 15:235-241
Zusammenfassung. Die 68 verwendeten Operatoren der konkretisierten Kompetenzen aus der Anlage 2 PflAPrV (2018) wurden anhand einer semiotischen Analyse gedeutet und hinsichtlich der entsprechenden sprachlich-kognitiven Operationen den Anforderungsber
Publikováno v:
IEEE Transactions on Power Systems. 35:1340-1350
Modern power grids incorporate renewable energy at an increased pace, placing greater stress on the power grid equipment and shifting their operational conditions towards their limits. As a result, failures of any network component, such as a transmi