Results 81 to 90 of about 17,736 (248)

Previous beliefs affect Bayesian reasoning in conditions fostering gist comprehension. [PDF]

Mem Cognit, 2023
Tubau E, Colomé À, Rodríguez-Ferreiro J.   +2 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Bayesian reasoning with emotional material in patients with schizophrenia. [PDF]

Front Psychol, 2022
Romero-Ferreiro V, Susi R, Sánchez-Morla EM, Marí-Beffa P, Rodríguez-Gómez P, Amador J, Moreno EM, Romero C, Martínez-García N, Rodriguez-Jimenez R.   +9 more
europepmc   +1 more source

Reasoning about Bayesian Network Classifiers

, 2012
Bayesian network classifiers are used in many fields, and one common class of classifiers are naive Bayes classifiers. In this paper, we introduce an approach for reasoning about Bayesian network classifiers in which we explicitly convert them into Ordered Decision Diagrams (ODDs), which are then used to reason about the properties of these classifiers.
Chan, Hei, Darwiche, Adnan
openaire   +2 more sources

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Understanding the Shades of Gray in Diagnosis-An Online Course in Bayesian Reasoning. [PDF]

J Grad Med Educ, 2022
Baduashvili A, McBeth L, Baird A, Burden M.   +3 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Testing Reasoning Software. A Bayesian Way

tripleC: Communication, Capitalism & Critique, 2008
Is it possible to supply strong empirical evidence for or against the efficacy of reasoning software? There is a paradox concerning tests of reasoning software.
Bertil Rolf
doaj  

Influence of risk literacy, decision-making styles and motivation on clinical reasoning in medical students: an ordinal logistic regression analysis

BMC Medical Education
Background Clinical reasoning is critical to the medical profession and should be a central component of the medical curriculum. However, there are different explanations of how clinical reasoning works, and there is little research on how it develops ...
Hamsa Al-Sayyed, Felix Albert, Eva Schönefeld, Roman-Patrik Lukas, Hendrik Friederichs   +4 more
doaj   +1 more source

Farmers' Financial Literacy—Scale Development and Linkages to Accounting Practices and Financial Outcomes

Agribusiness, EarlyView.
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley   +1 more source