Results 231 to 240 of about 523,565 (314)
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Comparative Efficacy of Combined and Standalone Oral Immunotherapies for Peanut Allergy: a Bayesian Network Meta-Analysis of RCTs. [PDF]
Tian X, Liu S, Li L, Guan K.
europepmc +1 more source
Computational Intelligent Systems: Evolving Dynamic Bayesian Networks
Isaac O. Osunmakinde
openalex +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Bayesian network analysis of cognitive impairment in empty-nest older adults: the role of living environment. [PDF]
Zhang S +6 more
europepmc +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Effectiveness and safety of four drainage methods for lung abscess: a Bayesian network meta-analysis and systematic review. [PDF]
Zhang X, Zheng Y, Pang L, Lv X, Zang N.
europepmc +1 more source
openaire +2 more sources

