Results 141 to 150 of about 346,567 (317)

State-Space Inference and Learning with Gaussian Processes [PDF]

, 2010
18.10.13 KB. Ok to add author version to spiral, authors hold copyright.State-space inference and learning with Gaussian processes (GPs) is an unsolved problem.
Rasmussen, Carl E, Deisenroth, Marc P, Deisenroth, M., Turner, Ryan, Rasmussen, C., Turner, R.   +5 more
core  

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Monte Carlo simulation for variable-density groundwater flow through reduced-order model coupled with Gaussian process

Shuiwen dizhi gongcheng dizhi
Variable-density groundwater flow (VDGF) is jointly driven by hydraulic and density gradient, leading to strong nonlinearity, large computational burden of numerical models, and therefore huge computational cost of Monte Carlo simulation for uncertainty ...
Chuan’an XIA, Xiufeng FAN, Hao WANG, Wenbin JIAN   +3 more
doaj   +1 more source

Gaussian Process Landmarking on Manifolds

SIAM Journal on Mathematics of Data Science, 2019
As a means of improving analysis of biological shapes, we propose an algorithm for sampling a Riemannian manifold by sequentially selecting points with maximum uncertainty under a Gaussian process model. This greedy strategy is known to be near-optimal in the experimental design literature, and appears to outperform the use of user-placed landmarks in ...
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies   +2 more
openaire   +3 more sources

Real-time information processing of environmental sensor network data using Bayesian Gaussian processes

, 2012
In this article, we consider the problem faced by a sensor network operator who must infer, in real time, the value of some environmental parameter that is being monitored at discrete points in space and time by a sensor network.
Osborne, Michael A., Roberts, Stephen, Osborne, MA, Rogers, A, Jennings, Nicholas R., Roberts, Stephen J., Rogers, Alex, Roberts, SJ, Jennings, NR   +8 more
core   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Generalized dimensions of images of measures under Gaussian processes

, 2014
26 pagesWe show that for certain Gaussian random processes and fields X:RN→Rd, Dq(μx) = min {d, 1/α Dq (μ)} a.s., for an index α which depends on Hölder properties and strong local nondeterminism of X, where q>1, where Dq denotes generalized q-dimension ...
Falconer, Kenneth, Xiao, Yimin
core   +1 more source

Ornstein-Uhlenbeck processes in Banach spaces and their spectral representations. [PDF]

, 2002
For Q the variance of some centred Gaussian random vector in a separable Banach space it is shown that, necessarily, Q factors through $\ell^2$ as a product of 2-summing operators.
James S. Groves, Groves, James S.
core   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

Advanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner, Peter Förster, Alexander Limper, Anselm Brodersen, Matthias Wessling, John Linkhorst   +5 more
wiley   +1 more source

String and Membrane Gaussian Processes

J. Mach. Learn. Res., 2015
To appear in the Journal of Machine Learning Research (JMLR), Volume ...
Samo, Y, Roberts, S
openaire   +4 more sources