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» Digital data networks design using genetic algorithms
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SENSYS
2003
ACM
14 years 25 days ago
Matching data dissemination algorithms to application requirements
A distinguishing characteristic of wireless sensor networks is the opportunity to exploit characteristics of the application at lower layers. This approach is encouraged by device...
John S. Heidemann, Fabio Silva, Deborah Estrin
DSD
2003
IEEE
138views Hardware» more  DSD 2003»
14 years 26 days ago
A Two-step Genetic Algorithm for Mapping Task Graphs to a Network on Chip Architecture
Network on Chip (NoC) is a new paradigm for designing core based System on Chip which supports high degree of reusability and is scalable. In this paper we describe an efficient t...
Tang Lei, Shashi Kumar
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
14 years 1 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
ICPR
2006
IEEE
14 years 8 months ago
A Prototypes-Embedded Genetic K-means Algorithm
This paper presents a genetic algorithm (GA) for Kmeans clustering. Instead of the widely applied stringof-group-numbers encoding, we encode the prototypes of the clusters into th...
Hsin-Chia Fu, Hsin-Min Wang, Shih-Sian Cheng, Yi-H...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy