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» Network performance monitoring at small time scales
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ISCA
2007
IEEE
196views Hardware» more  ISCA 2007»
15 years 4 months ago
Anton, a special-purpose machine for molecular dynamics simulation
The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macromolecules could in principle provide answers to some of the ...
David E. Shaw, Martin M. Deneroff, Ron O. Dror, Je...
VR
2007
IEEE
179views Virtual Reality» more  VR 2007»
15 years 4 months ago
On the Characterization of Peer-To-Peer Distributed Virtual Environments
Large scale distributed virtual environments (DVEs) have become a major trend in distributed applications, mainly due to the enormous popularity of multi-player online games in th...
Silvia Rueda, Pedro Morillo, Juan M. Orduña...
BMCBI
2008
145views more  BMCBI 2008»
14 years 10 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey
COMCOM
2004
98views more  COMCOM 2004»
14 years 9 months ago
End system multicast: an architectural infrastructure and topological optimization
Although IP-multicast has been proposed and investigated for years, there are major problems inherent in the IP-multicasting technique, e.g., difficulty to scale up the system, di...
Starsky H. Y. Wong, John C. S. Lui
AI
1998
Springer
14 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok