Results 181 to 190 of about 296,242 (293)

Multi-K KNN regression with bootstrap aggregation: Accurate predictions and alternative prediction intervals

Patchanok Srisuradetchai, Patchanok Srisuradetchai   +1 more
openalex   +2 more sources

A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship

, 2012
Henry De-Graft Acquah
openalex   +2 more sources

Fate of the Hybrid Transition of Bootstrap Percolation in Physical Dimension [PDF]

, 2019
Tommaso Rizzo
openalex   +1 more source

Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function [PDF]

, 2020
Ramses Abul Naga, Christopher Stapenhurst, Gastón Yalonetzky   +2 more
openalex   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Comparative pharmacokinetics of voriconazole between elderly and young adult patients: a population pharmacokinetic study. [PDF]

J Pharm Policy Pract
Zaryab Zakria K, Usman M, Bilal H, Akbar Z, Hussain T, Ali M, Sattar A, Alvi I, Rasheed H, Zulfiqar S, Rehan Khan M, Zahid Mushtaq M.   +11 more
europepmc   +1 more source

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation [PDF]

Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan   +3 more
openalex   +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

Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories. [PDF]

Global Spine J
Kartal A, Manalil NF, Cheng CD, Chung LK, Gebhard H, Greenberg M, Härtl R, Elsayed GA.   +7 more
europepmc   +1 more source

THE FACTOR-LASSO AND K-STEP BOOTSTRAP APPROACH FOR INFERENCE IN HIGH-DIMENSIONAL ECONOMIC APPLICATIONS [PDF]

, 2018
Christian Hansen, Yuan Liao
openalex   +1 more source