Zobrazeno 1 - 10
of 122
pro vyhledávání: '"A.H. Gee"'
Autor:
N.A. Segal, S.E. Ghobrial, M.R. Williams, C.J. Tonkin, G.M. Treece, A.H. Gee, K.E. Poole, T. Neogi, M.C. Nevitt, J.A. Lynch, T.D. Turmezei
Publikováno v:
Osteoarthritis and Cartilage. 31:S278-S279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efae2f6a74ac0420eb40b78f8cd2e7df
https://doi.org/10.1016/j.joca.2023.01.284
https://doi.org/10.1016/j.joca.2023.01.284
Autor:
N.A. Segal, M.R. Williams, S. Roques, C.J. Tonkin, G.M. Treece, A.H. Gee, K.E. Poole, T. Neogi, M.C. Nevitt, J.A. Lynch, T.D. Turmezei
Publikováno v:
Osteoarthritis and Cartilage. 31:S276-S277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbeda2e114330ffdd500a63c47d7bc39
https://doi.org/10.1016/j.joca.2023.01.282
https://doi.org/10.1016/j.joca.2023.01.282
Autor:
S.E. Ghobrial, M.R. Williams, C.J. Tonkin, G.M. Treece, A.H. Gee, K.E.S. Poole, T. Neogi, M.C. Nevitt, J.A. Lynch, N.A. Segal, T.D. Turmezei
Publikováno v:
Osteoarthritis Imaging. 2:100047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eaff001b76697cf46258ddfbb46f284
https://doi.org/10.1016/j.ostima.2022.100047
https://doi.org/10.1016/j.ostima.2022.100047
Autor:
M.R. Williams, S. Roques, C.J. Tonkin, G.M. Treece, A.H. Gee, K.E.S. Poole, T. Neogi, M.C. Nevitt, J.A. Lynch, N.A. Segal, T.D. Turmezei
Publikováno v:
Osteoarthritis Imaging. 2:100025
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ca2b093ac79249ce8d8ed38f28f8c4
https://doi.org/10.1016/j.ostima.2022.100025
https://doi.org/10.1016/j.ostima.2022.100025
Akademický článek
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In this paper, we derive an EM algorithm for nonlinear state space models. We use it to estimate jointly the neural network weights, the model uncertainty and the noise in the data. In the E-step we apply a forward-backward Rauch-Tung-Striebel smooth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f9a4881820e210add309e122560246e5
https://ora.ox.ac.uk/objects/uuid:ba72d7f8-ed2b-4005-9330-abef2f073ad3
https://ora.ox.ac.uk/objects/uuid:ba72d7f8-ed2b-4005-9330-abef2f073ad3
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Scopus-Elsevier
We discuss a novel strategy for training neural networks using sequential Monte Carlo algorithms and propose a new hybrid gradient descent/sampling importance resampling algorithm (HySIR). In terms of computational time and accuracy, the hybrid SIR i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06cd7adce4c0052bd2fbf2a8bb5efc2e
https://doi.org/10.1162/089976600300015664
https://doi.org/10.1162/089976600300015664
Publikováno v:
Neural Computation. 12:933-953
We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and noise estimation. In environments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d905fbbd762d5d982590eb8430d45e9
https://doi.org/10.1162/089976600300015655
https://doi.org/10.1162/089976600300015655
Publikováno v:
IEEE transactions on circuits and systems. II. 42(1):39-45
In this paper we derive stability conditions of local minima and their convergence regions of the Hopfield neural network when the diagonal elements of the coefficient matrix are all nonzero. Then for the traveling salesman problem (TSP) we clarify t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39bf45b12fa7680c2212dfece1188916
https://hdl.handle.net/20.500.14094/90000208
https://hdl.handle.net/20.500.14094/90000208