Zobrazeno 1 - 10
of 396
pro vyhledávání: '"Kennedy, Ken"'
Autor:
Banner, William P., Hadiashar, Shima Bab, Mazur, Grzegorz, Menke, Tim, Ziolkowski, Marcin, Kennedy, Ken, Romero, Jhonathan, Cao, Yudong, Grover, Jeffrey A., Oliver, William D.
Model-based optimization, in concert with conventional black-box methods, can quickly solve large-scale combinatorial problems. Recently, quantum-inspired modeling schemes based on tensor networks have been developed which have the potential to bette
Externí odkaz:
http://arxiv.org/abs/2305.02179
Realistic synthetic image data rendered from 3D models can be used to augment image sets and train image classification semantic segmentation models. In this work, we explore how high quality physically-based rendering and domain randomization can ef
Externí odkaz:
http://arxiv.org/abs/2212.06232
Sensor networks, such as ultra-wideband sensors for the smart warehouse, may need to run distributed algorithms for automatically determining a topological layout. In this paper, we present 5 different self-stabilizing algorithms (their central and d
Externí odkaz:
http://arxiv.org/abs/2203.11118
Autor:
Kennedy, Ken
Publikováno v:
Journal of the British Astronomical Association. Jun2024, Vol. 134 Issue 3, p217-220. 4p.
Autor:
Gray, James N., Hillis, W. Daniel, Kahn, Robert E., Kennedy, Ken, Miller, John P., Nagel, David C., Shortliffe, Edward H., Smarr, Larry, Thompson, Joe F., Vadasz, Leslie, Viterbi, Andrew J., Wallach, Steven J.
In Transforming Health Care Through Information Technology the PITAC offers six key recommendations that could significantly expand access to health care, improve its quality, reduce its costs, and transform the conduct of biomedical research. The PI
Externí odkaz:
http://hdl.handle.net/10150/106490
Autor:
Gray, James N., Hillis, W. Daniel, Kahn, Robert E., Kennedy, Ken, Miller, John P., Nagel, David C., Shortliffe, Edward H., Smarr, Larry, Thompson, Joe F., Vadasz, Leslie, Viterbi, Andrew J., Wallach, Steven J.
Using Information Technology to Transform the Way We Learn highlights PITACâ s findings and recommendations on how the Federal government can provide the leadership needed to solve key information technology challenges and to improve the quality of,
Externí odkaz:
http://hdl.handle.net/10150/105724
Autor:
Gray, James N., Hillis, W. Daniel, Kahn, Robert E., Kennedy, Ken, Miller, John P., Nagel, David C., Shortliffe, Edward H., Smarr, Larry, Thompson, Joe F., Vadasz, Leslie, Viterbi, Andrew J., Wallach, Steven J.
In Transforming Health Care Through Information Technology the PITAC offers six key recommendations that could significantly expand access to health care, improve its quality, reduce its costs, and transform the conduct of biomedical research. The PI
Externí odkaz:
http://hdl.handle.net/10150/105304
Autor:
Gray, James N., Hillis, W. Daniel, Kahn, Robert E., Kennedy, Ken, Miller, John P., Nagel, David C., Shortliffe, Edward H., Smarr, Larry, Thompson, Joe F., Vadasz, Leslie, Viterbi, Andrew J., Wallach, Steven J.
In the attached report, we focus exclusively on software development for high end computing (sometimes referred to as high-performance computing or supercomputing) because of its critical importance to U. S. national security and science and engineer
Externí odkaz:
http://hdl.handle.net/10150/105196
Autor:
Kennedy, Ken ken.kennedy@btinternet.com
Publikováno v:
Journal of the British Astronomical Association. Oct2023, Vol. 133 Issue 5, p302-306. 5p.
Autor:
Sadrfaridpour, Ehsan, Jeereddy, Sandeep, Kennedy, Ken, Luckow, Andre, Razzaghi, Talayeh, Safro, Ilya
The support vector machine is a flexible optimization-based technique widely used for classification problems. In practice, its training part becomes computationally expensive on large-scale data sets because of such reasons as the complexity and num
Externí odkaz:
http://arxiv.org/abs/1611.05487