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» An Algorithm for Distributed Beacon Selection
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TSP
2010
14 years 8 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
ALGORITHMICA
2011
14 years 9 months ago
Knowledge State Algorithms
We introduce the concept of knowledge states; many well-known algorithms can be viewed as knowledge state algorithms. The knowledge state approach can be used to to construct comp...
Wolfgang W. Bein, Lawrence L. Larmore, John Noga, ...
ADHOC
2008
183views more  ADHOC 2008»
15 years 2 months ago
On ant routing algorithms in ad hoc networks with critical connectivity
This paper shows a novel self-organizing approach for routing datagrams in ad hoc networks, called Distributed Ant Routing (DAR). This approach belongs to the class of routing alg...
Laura Rosati, Matteo Berioli, Gianluca Reali
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 5 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 2 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...