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» New models and algorithms for programmable networks
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132
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ADHOC
2006
97views more  ADHOC 2006»
15 years 1 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
127
Voted
IPPS
2010
IEEE
14 years 11 months ago
Inter-block GPU communication via fast barrier synchronization
The graphics processing unit (GPU) has evolved from a fixedfunction processor with programmable stages to a programmable processor with many fixed-function components that deliver...
Shucai Xiao, Wu-chun Feng
130
Voted
AUTONOMICS
2008
ACM
15 years 3 months ago
Emergent engineering for the management of complex situations
Ubiquitous computing and communication environments connect systems and people in unprecedented ways, but also fundamentally challenge the mindset of traditional systems engineeri...
René Doursat, Mihaela Ulieru
114
Voted
ICML
2009
IEEE
16 years 1 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
157
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BMCBI
2005
126views more  BMCBI 2005»
15 years 1 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois