Results 241 to 250 of about 338,787 (319)

Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion

Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu   +4 more
openalex   +2 more sources

Weak consistency of modified versions of Bayesian Information Criterion in a sparse linear regression with non-normal error term [PDF]

, 2014
Piotr Szulc
openalex  

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

Trajectory and influencing factors of changes in anxiety and depression in elderly patients after lumbar interbody fusion. [PDF]

World J Psychiatry
Liu XF, Wu YH, Huang GX, Yu B, Xu HJ, Qiu MH, Kang L.   +6 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

The influence of visibility and prevalence rate on visual search. [PDF]

J Vis
Manavalan M, Lee VG, Vilares I.
europepmc   +1 more source

Akaike Information Criterion and Bayesian Information Criterion Values from Each Survival Model.

Huijuan Li (626298), Xueyan Liang (11777360), Shiran Qin (17866838), Xiaoyu Chen (298872), Liju Huang (21376717), Yan Li (23143)   +5 more
openalex   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Causal inference shapes crossmodal postdiction in multisensory integration. [PDF]

Sci Rep
Günaydın G, Moran JK, Rohe T, Senkowski D.   +3 more
europepmc   +1 more source

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, Christian Mark Pelicano   +1 more
wiley   +1 more source