Zobrazeno 1 - 10
of 11 772
pro vyhledávání: '"O'kane, A."'
Autor:
Bullock, Seth, Ajmeri, Nirav, Batty, Mike, Black, Michaela, Cartlidge, John, Challen, Robert, Chen, Cangxiong, Chen, Jing, Condell, Joan, Danon, Leon, Dennett, Adam, Heppenstall, Alison, Marshall, Paul, Morgan, Phil, O'Kane, Aisling, Smith, Laura G. E., Smith, Theresa, Williams, Hywel T. P.
Publikováno v:
The Knowledge Engineering Review 39 (2024) e10
Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or trans-national scale. Pressing challenges in healthcare, finance, infrastructure and susta
Externí odkaz:
http://arxiv.org/abs/2411.06211
Galaxy properties are known to be affected by their environment. This is well established for the extremes of the density scales, between the high-density cluster environment and the low-density field. It is however not fully understood how the inter
Externí odkaz:
http://arxiv.org/abs/2409.09028
The theoretical basis for the Eddy Damped Markovian Anisotropic Closure (EDMAC) is formulated for two-dimensional anisotropic turbulence interacting with Rossby waves in the presence of advection by a large-scale mean flow. The EDMAC is as computatio
Externí odkaz:
http://arxiv.org/abs/2407.10129
Turbulence is the most important, ubiquitous, and difficult problem of classical physics. Feynman viewed it as essentially unsolved, without a rigorous mathematical basis to describe the statistical dynamics of this most complex of fluid motion. Howe
Externí odkaz:
http://arxiv.org/abs/2407.10085
Robots incurring component failures ought to adapt their behavior to best realize still-attainable goals under reduced capacity. We formulate the problem of planning with actuators known a priori to be susceptible to failure within the Markov Decisio
Externí odkaz:
http://arxiv.org/abs/2405.11402
Autor:
O'Kane, Paula, author, Busenbark, John R., author, McKenny, Aaron F., author, Paroutis, Sotirios, author
Publikováno v:
Delving Deep
Autor:
Hossen, Md Abir, Kharade, Sonam, O'Kane, Jason M., Schmerl, Bradley, Garlan, David, Jamshidi, Pooyan
Robotic systems are typically composed of various subsystems, such as localization and navigation, each encompassing numerous configurable components (e.g., selecting different planning algorithms). Once an algorithm has been selected for a component
Externí odkaz:
http://arxiv.org/abs/2402.05399
We study the problem of automatically discovering Granger causal relations from observational multivariate time-series data.Vector autoregressive (VAR) models have been time-tested for this problem, including Bayesian variants and more recent develop
Externí odkaz:
http://arxiv.org/abs/2402.03614
Autor:
Bonilla, Edwin V., Elinas, Pantelis, Zhao, He, Filippone, Maurizio, Kitsios, Vassili, O'Kane, Terry
Estimating the structure of a Bayesian network, in the form of a directed acyclic graph (DAG), from observational data is a statistically and computationally hard problem with essential applications in areas such as causal discovery. Bayesian approac
Externí odkaz:
http://arxiv.org/abs/2402.02644
Publikováno v:
Journal of Children's Services, 2024, Vol. 19, Issue 3, pp. 158-172.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JCS-05-2023-0025
