A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Genetic Parameter Estimation and Accuracy of Selection for Milk Production Traits in Romanian Black and White Cattle: A Bayesian Multi-Trait Animal Model Using MCMCglmm. [PDF]
Grosu H +4 more
europepmc +1 more source
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 +7 more
wiley +1 more source
Robust Bayesian multilevel meta-analysis: Adjusting for publication bias in the presence of dependent effect sizes. [PDF]
Bartoš F, Maier M, Wagenmakers EJ.
europepmc +1 more source
Diagnostic accuracy of lung ultrasound for suspected pneumonia in ambulatory and primary care settings: A systematic review and Bayesian latent class meta-analysis. [PDF]
Huang SM, Li YC, Sun CK, Chang FS.
europepmc +1 more source
Quantifying target antigen-dependent CAR T-cell performance against AML. [PDF]
Shah S +7 more
europepmc +1 more source
Analytic posterior distribution and bayes factor for pearson partial correlations. [PDF]
Kucharský Š +3 more
europepmc +1 more source
Clinical Use of Bayesian Model-Informed Precision Dosing in Routine Practice: A Focused Systematic Review. [PDF]
Alghamdi WA.
europepmc +1 more source
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Bayesian Post-Model-Selection Estimation
IEEE Signal Processing Letters, 2021Estimation after model selection refers to the problem where the exact observation model is unknown and is assumed to belong to a set of candidate models. Thus, a data-based model-selection stage is performed prior to the parameter estimation stage, which affects the performance of the subsequent estimation.
Nadav Harel, Tirza Routtenberg
openaire +1 more source

