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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 3 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
VIS
2007
IEEE
126views Visualization» more  VIS 2007»
16 years 5 months ago
A Unified Paradigm for Scalable Multi-Projector Displays
We present a general framework for the modeling and optimization of scalable multi-projector displays. Based on this framework, we derive algorithms that can robustly optimize the ...
Niranjan Damera-Venkata, Nelson L. Chang, Jeffre...
SIGOPS
2010
95views more  SIGOPS 2010»
14 years 10 months ago
Toward automatic policy refinement in repair services for large distributed systems
In order to be economically feasible and to offer high levels of availability and performance, large scale distributed systems depend on the automation of repair services. While t...
Moisés Goldszmidt, Mihai Budiu, Yue Zhang, ...
ECOOP
1998
Springer
15 years 8 months ago
Framework Design for End-to-End Optimization
Framework optimizations capitalize on object dependencies, while framework flexibility and composability demand object independence. This paper shows how to balance these conflicti...
Aamod Sane, Ashish Singhai, Roy H. Campbell
CGO
2003
IEEE
15 years 9 months ago
An Infrastructure for Adaptive Dynamic Optimization
Dynamic optimization is emerging as a promising approach to overcome many of the obstacles of traditional static compilation. But while there are a number of compiler infrastructu...
Derek Bruening, Timothy Garnett, Saman P. Amarasin...