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DCOSS
2006
Springer
14 years 4 days ago
An Optimal Data Propagation Algorithm for Maximizing the Lifespan of Sensor Networks
We consider the problem of data propagation in wireless sensor networks and revisit the family of mixed strategy routing schemes. We show that maximizing the lifespan, balancing th...
Aubin Jarry, Pierre Leone, Olivier Powell, Jos&eac...
ICDCS
2012
IEEE
11 years 11 months ago
Optimal Recovery from Large-Scale Failures in IP Networks
—Quickly recovering IP networks from failures is critical to enhancing Internet robustness and availability. Due to their serious impact on network routing, large-scale failures ...
Qiang Zheng, Guohong Cao, Tom La Porta, Ananthram ...
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
14 years 2 months ago
An artificial immune system with partially specified antibodies
Artificial Immune System algorithms use antibodies which fully specify the solution of an optimization, learning, or pattern recognition problem. By being restricted to fully spec...
Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jal...
ICML
2009
IEEE
14 years 9 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
EUROPAR
2003
Springer
14 years 1 months ago
Partial Redundancy Elimination with Predication Techniques
Partial redundancy elimination (PRE) techniques play an important role in optimizing compilers. Many optimizations, such as elimination of redundant expressions, communication opti...
Bernhard Scholz, Eduard Mehofer, R. Nigel Horspool