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» From Algorithmic to Subjective Randomness
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BMCBI
2005
125views more  BMCBI 2005»
15 years 4 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
TWC
2008
140views more  TWC 2008»
15 years 4 months ago
Exclusive-Region Based Scheduling Algorithms for UWB WPAN
With the capability of supporting very high data rate services in a short range, Ultra-Wideband (UWB) technology is appealing to multimedia applications in future wireless personal...
Kuang-Hao Liu, Lin Cai, Xuemin Shen
MST
2010
155views more  MST 2010»
14 years 11 months ago
Stochastic Models and Adaptive Algorithms for Energy Balance in Sensor Networks
We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
Pierre Leone, Sotiris E. Nikoletseas, José ...
SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
15 years 10 months ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 8 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin