Zobrazeno 1 - 10
of 850
pro vyhledávání: '"Dhaene Tom"'
Multi-objective optimization is a widely studied problem in diverse fields, such as engineering and finance, that seeks to identify a set of non-dominated solutions that provide optimal trade-offs among competing objectives. However, the computation
Externí odkaz:
http://arxiv.org/abs/2401.06649
We present Parallel Feasible Pareto Frontier Entropy Search ($\{\text{PF}\}^2$ES) -- a novel information-theoretic acquisition function for multi-objective Bayesian optimization supporting unknown constraints and batch query. Due to the complexity of
Externí odkaz:
http://arxiv.org/abs/2204.05411
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part C
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A October 2024 1067
Autor:
Verhoeve Piet, Van Goubergen Dirk, Defloor Tom, Dhaene Tom, Myny Dries, Ongenae Femke, Decruyenaere Johan, De Turck Filip
Publikováno v:
BMC Health Services Research, Vol 11, Iss 1, p 26 (2011)
Abstract Background The current, place-oriented nurse call systems are very static. A patient can only make calls with a button which is fixed to a wall of a room. Moreover, the system does not take into account various factors specific to a situatio
Externí odkaz:
https://doaj.org/article/c2b2c4d2eba74032b87369f815a95b66
Sleep apnea is a common respiratory disorder characterized by breathing pauses during the night. Consequences of untreated sleep apnea can be severe. Still, many people remain undiagnosed due to shortages of hospital beds and trained sleep technician
Externí odkaz:
http://arxiv.org/abs/1912.06879
Electrocardiogram signals are omnipresent in medicine. A vital aspect in the analysis of this data is the identification and classification of heart beat types which is often done through automated algorithms. Advancements in neural networks and deep
Externí odkaz:
http://arxiv.org/abs/1911.04898
Autor:
Larmuseau, Michiel, Theuwissen, Koenraad, Lejaeghere, Kurt, Duprez, Lode, Dhaene, Tom, Cottenier, Stefaan
Publikováno v:
In Scripta Materialia 1 April 2022 211
A novel Python framework for Bayesian optimization known as GPflowOpt is introduced. The package is based on the popular GPflow library for Gaussian processes, leveraging the benefits of TensorFlow including automatic differentiation, parallelization
Externí odkaz:
http://arxiv.org/abs/1711.03845
Simulations are becoming ever more common as a tool for designing complex products. Sensitivity analysis techniques can be applied to these simulations to gain insight, or to reduce the complexity of the problem at hand. However, these simulators are
Externí odkaz:
http://arxiv.org/abs/1702.00650