Results 81 to 90 of about 866,116 (323)
Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression
This paper proposes numerical solutions of Hamilton-Jacobi inequalities based on constrained Gaussian process regression. While Gaussian process regression is a tool to estimate an unknown function from its input and output data conventionally, the ...
Kenji Fujimoto +2 more
doaj +1 more source
Machine-Learning Methods for Computational Science and Engineering
The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
Michael Frank +2 more
doaj +1 more source
On Lower Bounds for Standard and Robust Gaussian Process Bandit\n Optimization [PDF]
Xu Cai, Jonathan Scarlett
openalex +1 more source
Mapping Interstellar Dust with Gaussian Processes [PDF]
Andrew Miller +5 more
openalex +1 more source
This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
Gaussian Process Synthesis of Artificial Sounds
In this paper, we propose Gaussian Process (GP) sound synthesis. A GP is used to sample random continuous functions, which are then used for wavetable or waveshaping synthesis.
Aristotelis Hadjakos
doaj +1 more source
The wettability of aluminum droplets (Al) on different copper substrates (Cu), where liquid Al spreads on solid Cu surfaces to form a liquid–solid interface, is studied numerically and experimentally. The experimental and numerical results show good agreement in the fast‐spreading regime.
Shan Lyu +8 more
wiley +1 more source
Multi-target tracking of birds in complex low-altitude airspace based on GM_PHD filter
GM_PHD (Gaussian mixture of probability hypothesis density) cannot completely track multiple targets, such as the flying birds in the complex low-altitude airspace near the airport, due to the lack of the steps of birth detection, track extraction and ...
Tao Hong +4 more
doaj +1 more source
Towards new cross-validation-based estimators for Gaussian process\n regression: efficient adjoint computation of gradients [PDF]
Sébastien Petit +4 more
openalex +1 more source
This paper presents a novel approach to reducing oxide layers on metal powders using low‐temperature hydrogen dielectric barrier discharge plasmas at atmospheric pressure. Unlike conventional hydrogen‐plasma reductions, the powders do not contact the plasma directly.
Shukang Zhang +3 more
wiley +1 more source

