Results 61 to 70 of about 24,192 (287)
Bayesian reasoning for qualitative replication analysis: Examples from climate politics
Political Science Research and MethodsThis paper demonstrates how Bayesian reasoning can be used for an analog of replication analysis with qualitative research that conducts inference to best explanation.
Tasha Fairfield, Andrew Charman
doaj +1 more source
Complexity, 2022 When unmanned underwater vehicles (UUVs) perform tasks, the marine environment situation information perceived by their sensors is insufficient and cannot be shared; moreover, the reasoning efficiency of the situation information is not high.
Hongfei Yao, Chunsong Han, Fengxia Xu
doaj +1 more source
A Type Theory for Probabilistic and Bayesian Reasoning [PDF]
CoRR, 2015 38 ...
Robin Adams 0001, Bart Jacobs 0001
openaire +4 more sources
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Modeling dynamic reliability using dynamic Bayesian networks [PDF]
, 2006 This paper considers the problem of modeling and analyzing the reliability of a system or a component (system) where the state of the system and the state of process variables influences each other in addition to an exogenous perturbation influence: this
Noyes, Daniel, Tchangani, Ayeley
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Bayesian Learning of Markov Network Structure [PDF]
, 2006 We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend naive Bayes classifiers and outperform existing directed probabilistic classifiers (Bayesian networks) of similar ...
Rish, Irina +3 more
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Influence of language features and language proficiency on Bayesian reasoning [PDF]
, 2023 Prior research indicates that language may affect probabilistic reasoning, in particular Bayesian reasoning. In this study, we add to this prior research by analyzing the association of language features and language proficiency with Bayesian reasoning ...
Andreas Eichler +2 more
core +1 more source
A Method of Emergent Event Evolution Reasoning Based on Ontology Cluster and Bayesian Network
IEEE Access, 2019 Comprehensive real-time event information is critical to policymakers during emergency response and decision-making process. However, the development process of the emergent events has great uncertainty, and situational evolutions of emergencies are ...
Shuoming Li, Shihong Chen, Yu Liu
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