Optimization via multimodel simulation
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1934-2
Abstract: Increasing computational power and the availability of 3D printers provide new tools for the combination of modeling and experimentation. Several simulation tools can be run independently and in parallel, e.g., long running computational fluid dynamics… read more here.
Keywords: via multimodel; multimodel simulation; optimization via; optimization ... See more keywords
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2956703
Abstract: Hyperparameters are numerical pre-sets whose values are assigned prior to the commencement of a learning process. Selecting appropriate hyperparameters is often critical for achieving satisfactory performance in many vision problems, such as deep learning-based visual… read more here.
Keywords: optimization via; hyperparameter optimization; dynamical hyperparameter; hyperparameter ... See more keywords