Results 71 to 80 of about 767,112 (259)
IntelLabs/bayesian-torch: Bayesian-Torch 0.4.0
, 2023 <p>New feature: Quantization framework in Bayesian-Torch. Support Post Training Quantization of Bayesian deep neural networks, enables efficient INT8 inference on Intel platforms.</p> What's Changed <ul> <li>Add support for output
Michael Beale +5 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in giant cell arteritis (GCA) patients. Methods This multicentre retrospective study included patients with GCA who received secukinumab at 14 Italian centres with at least 6 months of follow‐up.
Luca Iorio +29 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Bayesian Inference and Compressed Sensing [PDF]
, 2017 This chapter provides the use of Bayesian inference in compressive sensing (CS), a method in signal processing. Among the recovery methods used in CS literature, the convex relaxation methods are reformulated again using the Bayesian framework and this ...
Tesfamicael, Solomon Abedom
core +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds
Revija za Elementarno IzobraževanjeThe Null Hypothesis Significance Testing (NHST) framework has sparked considerable debate within the scientific community, leading to numerous studies advocating for a re-evaluation of the current system.
Sinisa Opić
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Calibration Procedures for Approximate Bayesian Credible Sets
, 2019 We develop and apply two calibration procedures for checking the coverage of approximate Bayesian credible sets, including intervals estimated using Monte Carlo methods.
Nicholls, GK, Ryder, RJ, Lee, Jeong
core
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source