Results 11 to 20 of about 2,019,981 (302)
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models [PDF]
, 2021 This paper presents an automatic procedure for the optimization of the hyperparameters of a delay rational model approximating the frequency-domain behavior of high-speed interconnects.
Treviso, Felipe +5 more
core +1 more source
地质科技通报, 2022 In machine learning-based landslide susceptibility assessment, there are some differences in the evaluation results obtained by using different hyperparameters.
Can Yang +4 more
doaj +1 more source
Buildings, 2023 Building energy optimization (BEO) is a promising technique to achieve energy efficient designs. The efficacy of optimization algorithms is imperative for the BEO technique and is significantly dependent on the algorithm hyperparameters.
Binghui Si, Feng Liu, Yanxia Li
doaj +1 more source
Data-driven approaches for identifying hyperparameters in multi-step retrosynthesis [PDF]
, 2023 Multi-step retrosynthesis problem can be solved by a search algorithm, such as Monte Carlo tree search (MCTS). The performance of multistep retrosynthesis, as measured by a trade-off in search time and route solvability, therefore depends on the ...
Lewis, Mervin +3 more
core +1 more source
Hyperparameter Optimization of CNN for Map Building
Современные информационные технологии и IT-образование, 2020 This article describes an approach for solving the task of finding hyperparameters of an artificial neural network, which is used for making a 2D land map.
Alexandra Akinina, Mikhail Nikiforov
doaj +1 more source
Hyperparameter Optimization with Differentiable Metafeatures
CoRR, 2021 Metafeatures, or dataset characteristics, have been shown to improve the performance of hyperparameter optimization (HPO). Conventionally, metafeatures are precomputed and used to measure the similarity between datasets, leading to a better initialization of HPO models.
Hadi S. Jomaa +2 more
openaire +2 more sources
Scaling Laws for Hyperparameter Optimization
Advances in Neural Information Processing Systems 36, 2023 Accepted at NeurIPS ...
Arlind Kadra +3 more
openaire +3 more sources
Tuning of Bayesian optimization for materials synthesis: simulation of the one-dimensional case
Science and Technology of Advanced Materials: Methods, 2022 Materials exploration requires the optimization of a multidimensional space including the chemical composition and synthesis parameters such as temperature and pressure.
Ryo Nakayama +8 more
doaj +1 more source
Hyperparameters values used during model optimization.
, 2021 Hyperparameters values used during model optimization.
Ethel Dominique Viray (11564842) +6 more
core +1 more source
A Novel Graph Convolutional Gated Recurrent Unit Framework for Network-Based Traffic Prediction
IEEE Access, 2023 A Smart City is characterized mainly as an efficient, technologically advanced, green, and socially informed city. An intelligent transportation system (ITS) is a subset area of smart cities that enhances the safety and mobility of road vehicles.
Basharat Hussain +4 more
doaj +1 more source