Predicting target data rates for dynamic spectrum allocation using Gaussian process regression
Sign Up to like & getrecommendations! Published in 2021 at "ICT Express"
DOI: 10.1016/j.icte.2021.08.011
Abstract: Abstract Issues in spectrum allocation between wireless network users have arisen due to the fast increase in the number of broadband services. Such issues include the failure to maximize the performance of all users by… read more here.
Keywords: spectrum allocation; dynamic spectrum; target data; gaussian process ... See more keywords
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01231
Abstract: Force field-based models are a Newtonian mechanics approximation of reality and are inherently noisy. Coupling models from different molecular scale domains (including single, gas-phase molecules up to multimolecule, condensed phase ensembles) is difficult, which is… read more here.
Keywords: target data; surrogate assisted; jones parameters; lennard jones ... See more keywords
Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3177769
Abstract: Unsupervised domain adaptation (UDA) transfers knowledge from a labeled source domain to an unlabeled target domain on cross-domain object recognition by reducing a distribution discrepancy between the source and target domains (interdomain discrepancy). Prevailing methods… read more here.
Keywords: recognition; target data; unsupervised domain; domain ... See more keywords