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pro vyhledávání: '"Nuijten AS"'
Neural combinatorial optimization (NCO) has gained significant attention due to the potential of deep learning to efficiently solve combinatorial optimization problems. NCO has been widely applied to job shop scheduling problems (JSPs) with the curre
Externí odkaz:
http://arxiv.org/abs/2412.14052
Autor:
Nuijten, Marit, Nelemans, Gijs
Wolf-Rayet (WR) and O-star binaries can be the progenitors of X-ray binaries and double black hole binaries, yet their formation is not fully understood. For 21 observed WR+O systems we aim to infer \rev{if the mass-transfer started on the main seque
Externí odkaz:
http://arxiv.org/abs/2412.00938
Autor:
Nuijten, Wouter W. L., de Vries, Bert
Active Inference is a framework that emphasizes the interaction between agents and their environment. While the framework has seen significant advancements in the development of agents, the environmental models are often borrowed from reinforcement l
Externí odkaz:
http://arxiv.org/abs/2409.11087
Autor:
Smit, Igor G., Zhou, Jianan, Reijnen, Robbert, Wu, Yaoxin, Chen, Jian, Zhang, Cong, Bukhsh, Zaharah, Zhang, Yingqian, Nuijten, Wim
Job shop scheduling problems (JSSPs) represent a critical and challenging class of combinatorial optimization problems. Recent years have witnessed a rapid increase in the application of graph neural networks (GNNs) to solve JSSPs, albeit lacking a s
Externí odkaz:
http://arxiv.org/abs/2406.14096
We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label assignments in settings where the tree data structure is associated with node attributes (typically high
Externí odkaz:
http://arxiv.org/abs/2311.12167
Publikováno v:
Entropy. 2023; 25(8):1138
Bayesian state and parameter estimation have been automated effectively in a variety of probabilistic programming languages. The process of model comparison on the other hand, which still requires error-prone and time-consuming manual derivations, is
Externí odkaz:
http://arxiv.org/abs/2306.05965
Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While ther
Externí odkaz:
http://arxiv.org/abs/2306.02910
Autor:
Mark Nuijten, Stefano Capri
Publikováno v:
Journal of Market Access & Health Policy, Vol 12, Iss 3, Pp 199-208 (2024)
Background: The purpose of this paper is to address how to handle uncertainty when performing an economic valuation of a medical innovation R&D project in orphan diseases from the perspective of the investor. Methods: We describe the specific uncerta
Externí odkaz:
https://doaj.org/article/5e3fd9d3b4e9429a9a87617a6c8e87be
Autor:
Nuijten, Wouter W. L.1 (AUTHOR) w.w.l.nuijten@tue.nl, Bagaev, Dmitry1 (AUTHOR), de Vries, Bert1,2 (AUTHOR)
Publikováno v:
Entropy. Nov2024, Vol. 26 Issue 11, p890. 20p.
Autor:
Andric, Predrag, Brizmer, Victor, Minov, Boris, Nuijten, Tomas, van der Zwaan, Roel, Morales-Espejel, Guillermo E., Vieillard, Charlotte
Publikováno v:
In Tribology International January 2025 201