Towards reliable uncertainty quantification via deep ensemble in multi-output regression task
S Yang, K Yee - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This study aims to comprehensively investigate the deep ensemble approach, an
approximate Bayesian inference, in the multi-output regression task for predicting the …
approximate Bayesian inference, in the multi-output regression task for predicting the …
Digital media teaching and effectiveness evaluation integrating big data and artificial intelligence
RY Zhang - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the development of digital media technology, its application in teaching and learning is
becoming more widespread. Digital media technology helps present information in …
becoming more widespread. Digital media technology helps present information in …
Neural networks special issue on Artificial Intelligence and brain science
Neural Networks special issue on Artificial Intelligence and Brain Science | Neural Networks
skip to main content ACM Digital Library home ACM home Google, Inc. (search) Advanced …
skip to main content ACM Digital Library home ACM home Google, Inc. (search) Advanced …
Uncertainty quantification via deep ensembles in missile performance prediction
SW Yang, K Yee - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-2684. vid Advances in
computational technologies have enabled engineers to obtain large amounts of data …
computational technologies have enabled engineers to obtain large amounts of data …
[PDF][PDF] Analysis of membrane process model from black box to machine learning
AA Ramel - Journal of Machine and Computing, 2022 - anapub.co.ke
The membrane processes include the complex frameworks, typically integrating various
physio-chemical aspects, and the biological activities, based on the systems researched. In …
physio-chemical aspects, and the biological activities, based on the systems researched. In …
Predictive Uncertainty in State-Estimation Drives Active Sensing in Weakly Electric Fish
Animals adapt their sensory systems to accurately perceive their environment and therefore
achieve optimal behavioral performance under varying sensory conditions. In addition to …
achieve optimal behavioral performance under varying sensory conditions. In addition to …