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» Performance Modeling: Understanding the Past and Predicting ...
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ASPLOS
2006
ACM
15 years 5 months ago
Understanding prediction-based partial redundant threading for low-overhead, high- coverage fault tolerance
Redundant threading architectures duplicate all instructions to detect and possibly recover from transient faults. Several lighter weight Partial Redundant Threading (PRT) archite...
Vimal K. Reddy, Eric Rotenberg, Sailashri Parthasa...
AAAI
2006
15 years 1 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
93
Voted
GRID
2003
Springer
15 years 4 months ago
Predicting the Performance of Globus Monitoring and Discovery Service (MDS-2) Queries
Resource discovery and monitoring in a distributed Grid environment gives rise to several issues, one of which is the provision of reliable performance and hence, the quality-ofse...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
107
Voted
IPPS
2002
IEEE
15 years 4 months ago
Predicting the Performance of Wide Area Data Transfers
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
98
Voted
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 4 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool