Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Amos David"'
Publikováno v:
Discussiones Mathematicae Graph Theory, Vol 40, Iss 1, Pp 209-225 (2020)
In this paper we introduce and study a new graph invariant derived from the degree sequence of a graph G, called the sub-k-domination number and denoted subk(G). This invariant serves as a generalization of the Slater number; in particular, we show t
Externí odkaz:
https://doaj.org/article/3ac0f954be5143ae9a02343465558ff4
Autor:
Percy OKAE, Amos DAVID
Publikováno v:
Applied Computer Science, Vol 12, Iss 2, Pp 33-41 (2016)
This paper adopts the concepts of observatory and competitive intelligence (CI) to model a system that will generate better insights for decision-makers in the solid waste industry. The first part of this work is to design and develop a data warehous
Externí odkaz:
https://doaj.org/article/0ba110a1b6c04a259128e0634792aec3
Publikováno v:
In Journal of Systems Architecture December 2023 145
Autor:
Higgins, Irina, Amos, David, Pfau, David, Racaniere, Sebastien, Matthey, Loic, Rezende, Danilo, Lerchner, Alexander
How can intelligent agents solve a diverse set of tasks in a data-efficient manner? The disentangled representation learning approach posits that such an agent would benefit from separating out (disentangling) the underlying structure of the world in
Externí odkaz:
http://arxiv.org/abs/1812.02230
Autor:
Piloto, Luis, Weinstein, Ari, TB, Dhruva, Ahuja, Arun, Mirza, Mehdi, Wayne, Greg, Amos, David, Hung, Chia-chun, Botvinick, Matt
In order to build agents with a rich understanding of their environment, one key objective is to endow them with a grasp of intuitive physics; an ability to reason about three-dimensional objects, their dynamic interactions, and responses to forces.
Externí odkaz:
http://arxiv.org/abs/1804.01128
Autor:
Wayne, Greg, Hung, Chia-Chun, Amos, David, Mirza, Mehdi, Ahuja, Arun, Grabska-Barwinska, Agnieszka, Rae, Jack, Mirowski, Piotr, Leibo, Joel Z., Santoro, Adam, Gemici, Mevlana, Reynolds, Malcolm, Harley, Tim, Abramson, Josh, Mohamed, Shakir, Rezende, Danilo, Saxton, David, Cain, Adam, Hillier, Chloe, Silver, David, Kavukcuoglu, Koray, Botvinick, Matt, Hassabis, Demis, Lillicrap, Timothy
Animals execute goal-directed behaviours despite the limited range and scope of their sensors. To cope, they explore environments and store memories maintaining estimates of important information that is not presently available. Recently, progress ha
Externí odkaz:
http://arxiv.org/abs/1803.10760
We introduce a new dataset of logical entailments for the purpose of measuring models' ability to capture and exploit the structure of logical expressions against an entailment prediction task. We use this task to compare a series of architectures wh
Externí odkaz:
http://arxiv.org/abs/1802.08535
Autor:
Leibo, Joel Z., d'Autume, Cyprien de Masson, Zoran, Daniel, Amos, David, Beattie, Charles, Anderson, Keith, Castañeda, Antonio García, Sanchez, Manuel, Green, Simon, Gruslys, Audrunas, Legg, Shane, Hassabis, Demis, Botvinick, Matthew M.
Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al. 2016). Psychlab enables implementations of classical laboratory psychological experiments so that they work with both human and artifi
Externí odkaz:
http://arxiv.org/abs/1801.08116
Publikováno v:
In Heart, Lung and Circulation August 2022 31(8):1085-1092
Autor:
Gemici, Mevlana, Hung, Chia-Chun, Santoro, Adam, Wayne, Greg, Mohamed, Shakir, Rezende, Danilo J., Amos, David, Lillicrap, Timothy
We consider the general problem of modeling temporal data with long-range dependencies, wherein new observations are fully or partially predictable based on temporally-distant, past observations. A sufficiently powerful temporal model should separate
Externí odkaz:
http://arxiv.org/abs/1702.04649