Results 91 to 100 of about 374,385 (274)
The pitfalls of using Gaussian Process Regression for normative modeling.
Normative modeling, a group of methods used to quantify an individual's deviation from some expected trajectory relative to observed variability around that trajectory, has been used to characterize subject heterogeneity.
Bohan Xu +3 more
doaj +1 more source
Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification [PDF]
Gaussian processes are a natural way of defining prior distributions over functions of one or more input variables. In a simple nonparametric regression problem, where such a function gives the mean of a Gaussian distribution for an observed response, a ...
Neal, Radford M.
core +2 more sources
Tensor Regression Meets Gaussian Processes
17 ...
Rose Yu, Max Guangyu Li, Yan Liu 0002
openaire +3 more sources
Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)
Luminescent MOF‐76 materials based on Eu(III) and mixed Eu(III)/Y(III) show rapid and reversible changes in emission intensity in response to O2 with very short response times. The effect is based on triplet quenching of the linker ligands that act as photosensitizers. Average emission lifetimes of a few milliseconds turn out to be mostly unaffected by
Zhenyu Zhao +5 more
wiley +1 more source
Constructing coarse-grained models with physics-guided Gaussian process regression
Coarse-grained models describe the macroscopic mean response of a process at large scales, which derives from stochastic processes at small scales. Common examples include accounting for velocity fluctuations in a turbulent fluid flow model and cloud ...
Yating Fang +3 more
doaj +1 more source
Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero +12 more
wiley +1 more source
Ultrasmall Platinum Nanoparticles for Radiation‐Enhanced Cancer Therapy
This work proposes a nanomedicine‐based strategy to enhance X‐ray radiotherapy for cancer treatment. Ultrasmall Pt‐NPs exhibit catalase‐like activity that may contribute to modulation of the tumor microenvironment and amplify interactions between radiation and biological matter, leading to increased DNA damage.
Miguel Encinas‐Gimenez +8 more
wiley +1 more source
Curvature‐Tuned Friction at Electrified Ionic Liquid Interfaces
Graphene curvature plays a key role in friction electrotunability at single‐asperity contacts lubricated by ionic liquids. A 9 nm radius yields stronger tunability than larger radii, with distinct friction coefficients at low and high loads indicating a shift in the slippage plane.
Wei Song +6 more
wiley +1 more source
Privacy-Aware Gaussian Process Regression
We propose a novel theoretical and methodological framework for Gaussian process regression subject to privacy constraints. The proposed method can be used when a data owner is unwilling to share a high-fidelity supervised learning model built from their data with the public due to privacy concerns.
Tuo, Rui +2 more
openaire +2 more sources
A MXene/PEDOT coating enables multimodal functionality and dual‐analyte detection of dopamine and serotonin in flexible microelectrode arrays while enhancing electrophysiological recording quality. The anti‐fouling, low‐impedance interface overcomes key limitations of conventional coatings, providing a robust and versatile platform to investigate the ...
Ilaria Gatti +8 more
wiley +1 more source

