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pro vyhledávání: '"Peter Holderrieth"'
Publikováno v:
Seizure. 91:132-140
Purpose Drug resistant epilepsy (DRE) affects approximately 30 percent of individuals with epilepsy worldwide. Surgery remains the most effective treatment for individuals with DRE, but referral to surgery is low and only about 60 percent of individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e600b547aec805f2e0885f0a589a3b0
https://doi.org/10.1016/j.seizure.2021.06.006
https://doi.org/10.1016/j.seizure.2021.06.006
A major problem in the application of machine learning to neuroimaging is the technological variability of MRI scanners and differences in the subject populations across studies. Transfer learning (TL) attempts to alleviate this problem. TL refers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841fce23d8afb71511c386c94f1cdeae
https://doi.org/10.1101/2022.12.11.22283324
https://doi.org/10.1101/2022.12.11.22283324
Autor:
Peter Holderrieth
We show fundamental properties of the Markov semigroup of recently proposed MCMC algorithms based on Piecewise-deterministic Markov processes (PDMPs) such as the Bouncy Particle Sampler, the Zig-Zag process or the Randomized Hamiltonian Monte Carlo m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89510a213af91d61c5209baf791284c
http://arxiv.org/abs/1910.11429
http://arxiv.org/abs/1910.11429