Zobrazeno 1 - 10
of 42
pro vyhledávání: '"K Y M Wong"'
Autor:
T, André, S, Lonardi, K Y M, Wong, H-J, Lenz, F, Gelsomino, M, Aglietta, M A, Morse, E, Van Cutsem, R, McDermott, A, Hill, M B, Sawyer, A, Hendlisz, B, Neyns, S, Abdullaev, A, Memaj, M, Lei, M, Dixon, S, Kopetz, M J, Overman
Publikováno v:
Annals of Oncology. 33:1052-1060
BACKGROUND: In the phase II multicohort CheckMate 142 study, nivolumab plus low-dose (1 mg/kg) ipilimumab provided robust and durable clinical benefit with a manageable safety profile in previously treated patients with microsatellite instability-hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23d49d3d769d0b342bdc744105e092eb
https://doi.org/10.1016/j.annonc.2022.06.008
https://doi.org/10.1016/j.annonc.2022.06.008
Autor:
D Sherrington, K Y M Wong
The authors propose a one-step replica-symmetry-breaking solution for spin glasses with finite connectivity. The introduction of two effective field distributions, one for each level of hierarchy, greatly simplifies the problem of manipulating an inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6afbfc3fd727143653d1827918e85f72
https://doi.org/10.1088/0305-4470/21/8/006
https://doi.org/10.1088/0305-4470/21/8/006
Autor:
D. Sherrington, K Y M Wong
The Aleksander model of neural networks replaces the connection weights of conventional models by logic devices (or Boolean functions). Learning is achieved by adjusting the Boolean functions stepwise via a 'training-with-noise' algorithm. The author
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80943be8d32b94be9c9df47dc5a7dd9
https://doi.org/10.1088/0305-4470/22/12/022
https://doi.org/10.1088/0305-4470/22/12/022
We consider layered neural networks in which the weights are trained with the pseudoinverse rule to store a set of random patterns. Using many-body diagrammatic techniques, the evolution in the network can be described by the overlap order parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbf6ce8b6137edf932cc3d0fe2a1d8fa
https://doi.org/10.1088/0305-4470/28/6/015
https://doi.org/10.1088/0305-4470/28/6/015
Autor:
D. Sherrington, K. Y. M. Wong
Publikováno v:
Statistical Mechanics of Neural Networks ISBN: 9783540532675
Conventional neural networks are based on synaptic storage of information, even when the neural states are discrete and bounded. In general, the set of potential local operations is much greater. Here we discuss some aspects of the properties of netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da8e5a25182593dff7bbb44ca23f0654
https://ora.ox.ac.uk/objects/uuid:287c57a2-4157-46cd-a039-e5490bc25e55
https://ora.ox.ac.uk/objects/uuid:287c57a2-4157-46cd-a039-e5490bc25e55
The authors study the problem of learning and retrieving for a pair of correlated patterns within an extensive number of uncorrelated patterns, for networks where learning may be treated as an optimization process with respect to an arbitrary cost fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c15ac59f16f290d8c02f33acecbdc4
https://ora.ox.ac.uk/objects/uuid:2f6dd9dd-a859-4005-bfc5-700491458c99
https://ora.ox.ac.uk/objects/uuid:2f6dd9dd-a859-4005-bfc5-700491458c99
Autor:
K Y M Wong
Publikováno v:
Europhysics Letters (EPL). 38:631-636
I consider layered neural networks in which the weights are trained by optimizing an arbitrary performance function with respect to a set of examples. Using the cavity method and many-body diagrammatic techniques, the evolution in the network can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d26a99438641898d9e3a76d378e9c8
https://doi.org/10.1209/epl/i1997-00295-7
https://doi.org/10.1209/epl/i1997-00295-7
Publikováno v:
Journal of Physics A: Mathematical and General. 30:2637-2652
We consider the behaviour of multi-state neural networks averaged over an extended monitoring period of their dynamics. Pattern reconstruction by clipping the activities is proposed, leading to an improvement in retrieval precision.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3283135f0c7e9d9bfb66dbb8cc55b1d
https://doi.org/10.1088/0305-4470/30/8/012
https://doi.org/10.1088/0305-4470/30/8/012
Autor:
K Y M Wong
Publikováno v:
Europhysics Letters (EPL). 36:631-636
I study the averaged dynamical behaviour of neural networks over an extended monitoring period, and consider pattern reconstruction procedures by activity clipping, selectively freezing, or sequentially freezing the dynamic nodes. They enable the ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e88e37252a01a0eff8964b9c8f70b7d4
https://doi.org/10.1209/epl/i1996-00279-7
https://doi.org/10.1209/epl/i1996-00279-7
Autor:
K. Y. M. Wong
Publikováno v:
Europhysics Letters (EPL). 30:245-250
Using the cavity method, I derive the microscopic equations and their stability condition for information learning in neural networks, optimized with arbitrary performance functions in terms of the aligning fields of the examples. In the thermodynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbf9c5eb17f8803d358d7074924fd04
https://doi.org/10.1209/0295-5075/30/4/010
https://doi.org/10.1209/0295-5075/30/4/010