Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Michael A. Matheson"'
Autor:
Ramakrishnan Kannan, Michael A. Matheson, Koby Hayashi, Grey Ballard, Haesun Park, Srinivas Eswar
Publikováno v:
ACM Transactions on Mathematical Software. 47:1-37
We consider the problem of low-rank approximation of massive dense nonnegative tensor data, for example, to discover latent patterns in video and imaging applications. As the size of data sets grows, single workstations are hitting bottlenecks in bot
Autor:
Michael J. Matheson
Publikováno v:
American Journal of International Law. 114:331-334
Publikováno v:
Big Data Research. 8:1-11
We present a tutorial overview showing how one can achieve scalable performance with R. We do so by utilizing several package extensions, including those from the pbdR project. These packages consist of high performance, high-level interfaces to and
Autor:
Michael A. Matheson, Zach D. Seibers, William A. Shelton, S. Michael Kilbey, Jan-Michael Y. Carrillo, Rajeev Kumar, John F. Ankner, Monojoy Goswami, Bobby G. Sumpter, Kiran Bhaskaran-Nair
Publikováno v:
ACS Nano. 10:7008-7022
Understanding how additives interact and segregate within bulk heterojunction (BHJ) thin films is critical for exercising control over structure at multiple length scales and delivering improvements in photovoltaic performance. The morphological evol
Autor:
Michael J. Matheson, David J. Scheffer
Publikováno v:
American Journal of International Law. 110:173-190
This article offers a U.S. perspective on the creation of the Yugoslav and Rwanda criminal tribunals as each nears its conclusion following more than twenty years of judicial proceedings. During the period in which the tribunals were created, one of
Autor:
Michael J. Matheson
The author appreciates the opportunity to offer this distinguished group a presentation on the United States position concerning the relation of customary international law to the 1977 Protocols Additional to the 1949 Geneva Conventions. This chapter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9516ff55b67d89f641e2e83e1fa8ebfd
https://doi.org/10.4324/9781315086767-8
https://doi.org/10.4324/9781315086767-8
Publikováno v:
IEEE BigData
Data driven science, accompanied by the explosion of petabytes of data, has called into need dedicated analytics computing resources. Dedicated analytics clusters require large capital outlays due to their expensive hardware requirements. Additionall
Publikováno v:
IEEE BigData
In this paper, we pose and address some of the unique challenges in the analysis of scientific Big Data on supercomputing platforms. Our approach identifies, implements and scales numerical kernels that are critical to the instantiation of theory-ins
Publikováno v:
IEEE BigData
Scaling-up scientific data analysis and machine learning algorithms for data-driven discovery is a grand challenge that we face today. Despite the growing need for analysis from science domains that are generating ‘Big Data’ from instruments and
Autor:
Michael J. Matheson
Publikováno v:
American Journal of International Law. 106:694-700