Results 111 to 120 of about 365,701 (280)
We present a case study in which we use a mixture of regressions model to improve on an ill-fitting simple linear regression model relating log brain mass to log body mass for 100 placental mammalian species.
Kunkel, Deborah, Peruggia, Mario
core
Product of Gaussian Mixture Diffusion Models
AbstractIn this work, we tackle the problem of estimating the density$$ f_X $$fXof a random variable$$ X $$Xby successive smoothing, such that the smoothed random variable$$ Y $$Yfulfills the diffusion partial differential equation$$ (\partial _t - \Delta _1)f_Y(\,\cdot \,, t) = 0 $$(∂t-Δ1)fY(·,t)=0with initial condition$$ f_Y(\,\cdot \,, 0) = f_X $$fY(
Zach, Martin +3 more
openaire +3 more sources
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
BAYESIAN ESTIMATION OF THE GAUSSIAN MIXTURE GARCH MODEL [PDF]
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions.
María Concepcion Ausin, Pedro Galeano
core
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee +11 more
wiley +1 more source
Human movement is closely linked with muscle activities. Research has indicated that predicting human movements with surface electromyography signals is feasible.
Shengli Zhou +3 more
doaj +1 more source
Federated Gaussian Mixture Models
This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning (FL), where multiple decentralized clients collaboratively train models without sharing raw data, significant challenges include statistical heterogeneity, high communication
Pettersson, Sophia Zhang +2 more
openaire +2 more sources
Gold bipyramids can act as efficient plasmonic nanoheaters, but they often reshape during laser heating. This study shows that oxygen nanobubbles drive oxidative etching and that surface ligands control stability. CTAB‐ and citrate‐coated particles blunt and lose optical performance, whereas polystyrene sulfonate preserves shape and heating by ...
Irene López‐Sicilia +7 more
wiley +1 more source
Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film
ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu +7 more
wiley +1 more source

