Results 201 to 210 of about 3,187,155 (299)
Separation-like irregularity and sample size optimism in high-discrimination logistic prediction models. [PDF]
Liang Y, Wang LS, Yu J, Zan X.
europepmc +1 more source
Abstract Background Best practices in diagnosing autism spectrum disorder require an expert diagnostician to integrate multiple sources of information, including direct observations, interviews, and rating scales completed by knowledgeable informants.
Aaron J. Kaat +8 more
wiley +1 more source
Larger language models better align with neural representations of natural language. [PDF]
Hong Z +15 more
europepmc +1 more source
ABSTRACT Objective As artificial intelligence (AI) tools gain traction in healthcare, their role in periodontal diagnostics remains largely unexplored. This study evaluated the diagnostic accuracy of ChatGPT‐4 in applying the 2017 Classification of Periodontal and Peri‐Implant Diseases and Conditions compared to US dental school faculty, with the goal ...
Ellie Y. Ji +10 more
wiley +1 more source
Evaluation of Machine Learning Models for Condition Optimization in Diverse Amide Coupling Reactions. [PDF]
Chalasani AS +5 more
europepmc +1 more source
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
Generalized linear multiple kernel learning for high-dimensional image data. [PDF]
Shi Q, Kang J, Li Y.
europepmc +1 more source
A note on adaptive generalized ridge regression estimator
The problem of estimating parameters in a linear regression model is considered. A class of adaptive generalized ridge estimator is proposed. It is shown that the proposed estimator has smaller mean squared error than the least squares estimator under ...
Wang, Song-Gui, Chow, Shein-Chung
core
The study provides insights for post‐processing climate model output in complex terrain, useful for climate change impact models. We compared different bias adjustment and downscaling techniques from quantile delta mapping to simple lapse rates. We developed a new spatial downscaling method based on principal components analysis, which showed superior ...
Michael Matiu +4 more
wiley +1 more source
Food Production Index Forecasting for Sustainable Food Systems in Türkiye: A Machine Learning-Based Approach. [PDF]
Balci Torun F +4 more
europepmc +1 more source

