Results 31 to 40 of about 247,191 (215)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT In epidemiological studies, obsessive‐compulsive disorder (OCD) is robustly associated with increased risk of cardiometabolic disorders, including cardiovascular diseases, type 2 diabetes, and obesity. However, the mechanisms behind these associations are unclear. We conducted genetic correlation analyses to explore shared genetic etiology and
Robyn E. Wootton +217 more
wiley +1 more source
Rates of convergence for extremes of geometric random variables and marked point processes [PDF]
, 2015 We use the Stein-Chen method to study the extremal behaviour of the problem of extremes for univariate and bivariate geometric laws. We obtain a rate for the convergence to the Gumbel distribution of the law of the maximum of i. i. d.
Cipriani, Alessandra, Feidt, Anne
core +3 more sources
RETRACTED: Learner emotions and performance in hypercasual VR games with adaptive AI difficulty
British Educational Research Journal, EarlyView.Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley +1 more source
Stochastic approximation of score functions for Gaussian processes [PDF]
, 2013 We discuss the statistical properties of a recently introduced unbiased stochastic approximation to the score equations for maximum likelihood calculation for Gaussian processes.
Anitescu, Mihai +2 more
core +1 more source
British Educational Research Journal, EarlyView.Abstract Beneath the Hong Kong government's enthusiasm for recruiting non‐local undergraduates—including students from the Chinese Mainland and other international regions—lies a longstanding gap in understanding the core meanings and drivers shaping the territory's expanding focus on inward international student mobility (ISM).
Fang Gao +3 more
wiley +1 more source
Bootstrap percolation on the Hamming torus with threshold 2 [PDF]
, 2017 This paper analyzes various questions pertaining to bootstrap percolation on the $d$-dimensional Hamming torus where each node is open with probability $p$ and the percolation threshold is 2. For each $d'
Slivken, Erik
core
Level crossings and other level functionals of stationary Gaussian processes
, 2006 This paper presents a synthesis on the mathematical work done on level crossings of stationary Gaussian processes, with some extensions. The main results [(factorial) moments, representation into the Wiener Chaos, asymptotic results, rate of convergence,
Kratz, Marie F.
core +4 more sources
Stein meets Malliavin in normal approximation [PDF]
, 2015 Stein's method is a method of probability approximation which hinges on the solution of a functional equation. For normal approximation the functional equation is a first order differential equation.
Chen, Louis H. Y.
core +1 more source
A Poisson Approximation for the Dirichlet Law, the Ewens Sampling Formula and the Griffiths-Engen-McCloskey Law by the Stein-Chen Coupling Method [PDF]
Bernoulli, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources