Results 221 to 230 of about 1,563,284 (329)

Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging. [PDF]

Malar J, 2018
Millar J, Psychas P, Abuaku B, Ahorlu C, Amratia P, Koram K, Oppong S, Valle D.   +7 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators. [PDF]

Struct Equ Modeling
Henry T, Fisher Z, Bollen K.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Bayesian Model Averaging for Selection of a Risk Prediction Model for Death within Thirty Days of Discharge: The SILVER-AMI Study. [PDF]

Int J Stat Med Res, 2019
Murphy TE, Tsang SW, Leo-Summers LS, Geda M, Kim DH, Oh E, Allore HG, Dodson J, Hajduk AM, Gill TM, Chaudhry SI.   +10 more
europepmc   +1 more source

Bayesian Threshold Moving Average Models

Journal of Modern Applied Statistical Methods, 2011
Mahmoud M. Smadi, M. T. Alodat
openaire   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies. [PDF]

J Phys Chem B, 2017
Gosink LJ, Overall CC, Reehl SM, Whitney PD, Mobley DL, Baker NA.   +5 more
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Bayesian Model Averaging with Change Points to Assess the Impact of Vaccination and Public Health Interventions. [PDF]

Epidemiology, 2017
Kürüm E, Warren JL, Schuck-Paim C, Lustig R, Lewnard JA, Fuentes R, Bruhn CAW, Taylor RJ, Simonsen L, Weinberger DM.   +9 more
europepmc   +1 more source