Results 81 to 90 of about 840,461 (231)
The Role of Bayesian Approaches in Medical Education for Enhancing Evidence-Based Medicine.
Revista Española de Educación MédicaThe increasing complexity of clinical decision-making in evidence-based medicine (EBM) highlights the need for probabilistic reasoning. Bayesian theory provides a structured framework to integrate prior knowledge with new evidence, yet its use in ...
Andy Hermógenes Luque Loor +3 more
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Uncertain deduction and conditional reasoning
Frontiers in Psychology, 2015 There has been a paradigm shift in the psychology of deductive reasoning. Many researchers no longer think it is appropriate to ask people to assume premises and decide what necessarily follows, with the results evaluated by binary extensional logic ...
Jonathan St B T Evans +2 more
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A Bayesian Approach to Absent Evidence Reasoning
Informal Logic, 2011 Under what conditions is the failure to have evidence that p evidence that p is false? Absent evidence reasoning is common in many sciences, including astronomy, archeology, biology and medicine.
Christopher Lee Stephens
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Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Advanced Science, EarlyView.Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Reasoning over Bayesian Networks using Semantic Artificial Neural Networks
, 2021 Representation of application domains, related concepts and their dependencies is often achieved using Bayesian Networks. In Bayesian Networks nodes represent random variables and arcs represent their dependencies.
Batsakis, Sotirios +5 more
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Effect of hit rate and cognitive style on Bayesian reasoning: evidence from eye movements
Frontiers in PsychologyWhile psychological research has established both probability information and cognitive style as key factors in Bayesian reasoning, their interactive effects remain underexplored.
Lin Yin, Zifu Shi, Mei Liu, Huohong Chen
doaj +1 more source
Advanced Science, EarlyView.A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie +10 more
wiley +1 more source
Approximate Bayesian Inference Based on Expected Evaluations [PDF]
, 2023 Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable.
Hammer, Hugo Lewi, Riegler, Michael
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