Results 241 to 250 of about 63,696 (324)

$$ \alpha $$ -KIDS: A Novel Feature Evaluation in the Ultrahigh-Dimensional Right-Censored Setting, With Application to Head and Neck Cancer. [PDF]

Stat Med
Urmi AF, Ke C, Bandyopadhyay D.
europepmc   +1 more source

Four Properties of Reproducing Kernel Hilbert Spaces

, 2008
Alan Rufty
openalex   +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

Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. [PDF]

Plant Genome
Brault C, Conley EJ, Green AJ, Glover KD, Cook JP, Gill HS, Read AC, Fiedler JD, Anderson JA.   +8 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

A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs. [PDF]

Sci Data
Fang S, Majumder R, Hector E, Reich B, Sankarasubramanian A.   +4 more
europepmc   +1 more source

Bounded symbols and Reproducing Kernel Thesis for truncated Toeplitz operators

, 2010
Anton Baranov, Isabelle Chalendar, Emmanuel Fricain, Javad Mashreghi, Dan Timotin   +4 more
openalex   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Principal component guided DCGAN for mitigating mode collapse in electromagnetic pulse signal synthesis. [PDF]

Sci Rep
Gao Z, Zhao L, Zheng J, Yi T, Zhang C, Wang Q.   +5 more
europepmc   +1 more source

Using reproducing kernel for solving a class of singularly perturbed problems

, 2010
Yulan Wang, Lijuan Su, Xuejun Cao, Xiao‐Na Li   +3 more
openalex   +1 more source