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AUTOMATICA
2007
102views more  AUTOMATICA 2007»
15 years 4 months ago
An extension of duality to a game-theoretic framework
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A Nash game (NG) with coupled constraints is considered. Solv...
Lacra Pavel
CGO
2008
IEEE
15 years 11 months ago
Cole: compiler optimization level exploration
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...
Kenneth Hoste, Lieven Eeckhout
ICML
2005
IEEE
16 years 5 months ago
Hedged learning: regret-minimization with learning experts
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
Yu-Han Chang, Leslie Pack Kaelbling
DNIS
2010
Springer
184views Database» more  DNIS 2010»
15 years 11 months ago
A Study on Workload Imbalance Issues in Data Intensive Distributed Computing
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
Sven Groot, Kazuo Goda, Masaru Kitsuregawa
PREMI
2005
Springer
15 years 10 months ago
Learning to Segment Document Images
A hierarchical framework for document segmentation is proposed as an optimization problem. The model incorporates the dependencies between various levels of the hierarchy unlike tr...
K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawah...