Results 191 to 200 of about 149,758 (276)

From exchangeability to rational belief: a cognitive interpretation of de Finetti's theorem. [PDF]

Front Psychol
Costa T.
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Variational adaptive Gaussian approximation filter for nonlinear systems with generalized unknown disturbances. [PDF]

iScience
Qin Y, Lv J, Li S, Hou Y.
europepmc   +1 more source

Bayesian Networks: Aspects of Approximate Inference

, 2008
A Bayesian network can be used to model consisely the probabilistic knowledge with respect to a given problem domain. Such a network consists of an acyclic directed graph in which the nodes represent stochastic variables, supplemented with probabilities indicating the strength of the influences between neighbouring variables.
openaire   +2 more sources

Primary Psychoses Among Sentenced Prisoners in Finland

Criminal Behaviour and Mental Health, EarlyView.
ABSTRACT Background Recent studies suggest an increased prevalence of primary psychotic disorders among sentenced prisoners in Finland. Exploring the extent and correlates of lifetime primary psychoses through high‐quality data is crucial for early identification and effective interventions within correctional settings.
Petra Laivonen, Taina Laajasalo, Mika Rautanen   +2 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Bayesian inference of mixed Gaussian phylogenetic models. [PDF]

BMC Bioinformatics
Brahmantio B, Bartoszek K, Yapar E.
europepmc   +1 more source

Neural mechanisms of flexible perceptual inference. [PDF]

PLoS Comput Biol
Schwarcz J, Bauer J, Rajabi H, Marmur G, Reiner R, Lottem E, Kadmon J.   +6 more
europepmc   +1 more source

Calibrated approximate Bayesian inference

, 2019
Xing, H, Nicholls, G, Lee, J
openaire   +1 more source