Zobrazeno 1 - 10
of 29 656
pro vyhledávání: '"Bartlett, P."'
Autor:
Pursiainen, Viivi, Williams, Stewart J., Kenny, Thaddeus, Bartlett, Elizabeth S., Biggs, Andrew D., McCollam, Brendan, Acosta, Danilo, Ellis, Sean, Lung, Rupert
The SKA Observatory, currently in the construction phase, will have two of the world's largest radio telescopes when completed in 2028. The scale of the project introduces unique challenges for the telescope software design and implementation at all
Externí odkaz:
http://arxiv.org/abs/2407.17149
Autor:
Kenny, Thaddeus, Williams, Stewart J., Pursiainen, Viivi, Bartlett, Elizabeth S., McCollam, Brendan, Biggs, Andrew D., Ellis, Sean, Lung, Rupert
The Observatory Science Operations (OSO) subsystem of the SKAO consists of a range of complex tools which will be used to propose, design, schedule and execute observations. Bridging the gap between the science and telescope domains is the key respon
Externí odkaz:
http://arxiv.org/abs/2407.17142
Electronic structure methods built around double-electron excitations have a rich history in quantum chemistry. However, it seems to be the case that such methods are only suitable in particular situations and are not naturally equipped to simultaneo
Externí odkaz:
http://arxiv.org/abs/2407.08685
Autor:
Bartlett, Stuart J
I introduce a new approach to semantic information based upon the influence of erasure operations (interventions) upon distributions of a system's future trajectories through its phase space. Semantic (meaningful) information is distinguished from sy
Externí odkaz:
http://arxiv.org/abs/2407.07335
Coupled cluster theory has had a momentous impact on the ab initio prediction of molecular properties, and remains a staple ingratiate in high-accuracy thermochemical model chemistries. However, these methods require inclusion of at least some connec
Externí odkaz:
http://arxiv.org/abs/2407.03519
Coupled cluster methods based exclusively on double excitations are comparatively "cheap" and interesting model chemistries, as they are typically able to capture the bulk of the dynamical electron correlation effects. The trade-off in such approxima
Externí odkaz:
http://arxiv.org/abs/2406.09174
The typical training of neural networks using large stepsize gradient descent (GD) under the logistic loss often involves two distinct phases, where the empirical risk oscillates in the first phase but decreases monotonically in the second phase. We
Externí odkaz:
http://arxiv.org/abs/2406.08654
Empirically, large-scale deep learning models often satisfy a neural scaling law: the test error of the trained model improves polynomially as the model size and data size grow. However, conventional wisdom suggests the test error consists of approxi
Externí odkaz:
http://arxiv.org/abs/2406.08466
The rapid spread of West Nile Virus (WNV) is a growing concern. With no vaccines or specific medications available, prevention through mosquito control is the only solution to curb the spread. Mosquito traps, used to detect viral presence in mosquito
Externí odkaz:
http://arxiv.org/abs/2406.06920
Autor:
Bonneville, Edouard F., Beyersmann, Jan, Keogh, Ruth H., Bartlett, Jonathan W., Morris, Tim P., Polverelli, Nicola, de Wreede, Liesbeth C., Putter, Hein
The Fine-Gray model for the subdistribution hazard is commonly used for estimating associations between covariates and competing risks outcomes. When there are missing values in the covariates included in a given model, researchers may wish to multip
Externí odkaz:
http://arxiv.org/abs/2405.16602