Results 121 to 130 of about 24,192 (287)

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

Bayesian Reasoning in Data Analysis [PDF]

, 2003
This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life.
openaire   +2 more sources

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

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

Model‐Based Bayesian Optimization for Organic Photovoltaics: Combining Bayesian Optimization With Physical Domain Knowledge

Advanced Energy Materials, EarlyView.
Integration of a physical solar cell model into Bayesian optimization is performed using the Knowledge Gradient acquisition function to balance exploration and exploitation. Experimental validation on the PTQ10:BTP‐eC9 material system and statistical validation on an OPV benchmark function show that the model‐based approach outperforms conventional ...
Leonard Christen, Thomas Kirchartz
wiley   +1 more source

On Evolutionary Algorithms for Multiple Criteria Decision Support in Bayesian Belief Networks Models of Dependable Software Development Processes. [PDF]

, 2008
Recent research in software development process assessment and modelling has led to an increase demand for formalisms capable of providing reasoning under uncertainty.
May, John H R
core  

Integrating Boolean Satisfiability Algorithms into Bayesian Networks for Accelerated Deterministic Inference

Algorithms
Exact probabilistic inference in Bayesian Networks (BNs) becomes increasingly expensive as network size and structural complexity grow, limiting its applicability in time-sensitive decision-support systems.
Efraín Evaristo Díaz Macías, José Steven Cordero Bazurto, Byron Wladimir Oviedo Bayas   +2 more
doaj   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

Optimising ITS behaviour with Bayesian networks and decision theory [PDF]

, 2001
We propose and demonstrate a methodology for building tractable normative intelligent tutoring systems (ITSs). A normative ITS uses a Bayesian network for long-term student modelling and decision theory to select the next tutorial action.
Mitrovic, Antonija, Mayo, Michael
core  

Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning. [PDF]

MDM Policy Pract, 2022
Kunzelmann AK, Binder K, Fischer MR, Reincke M, Braun LT, Schmidmaier R.   +5 more
europepmc   +1 more source