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IAT
2006
IEEE
14 years 2 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Lossless image compression with tree coding of magnitude levels
With the rapid development of digital technology in consumer electronics, the demand to preserve raw image data for further editing or repeated compression is increasing. Traditio...
Hua Cai, Jiang Li
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm encoding for a class of cardinality constraints
A genetic algorithm encoding is proposed which is able to automatically satisfy a class of important cardinality constraints where the set of distinct values of the design variabl...
Helio J. C. Barbosa, Afonso C. C. Lemonge
ISCA
1997
IEEE
137views Hardware» more  ISCA 1997»
14 years 1 months ago
A Language for Describing Predictors and Its Application to Automatic Synthesis
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
Joel S. Emer, Nicholas C. Gloy
PODC
2010
ACM
13 years 10 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom