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ISCI
1998
193views more  ISCI 1998»
13 years 7 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
ATAL
2010
Springer
13 years 8 months ago
A decentralised coordination algorithm for minimising conflict and maximising coverage in sensor networks
In large wireless sensor networks, the problem of assigning radio frequencies to sensing agents such that no two connected sensors are assigned the same value (and will thus inter...
Ruben Stranders, Alex Rogers, Nicholas R. Jennings
ICML
2007
IEEE
14 years 8 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICCAD
2010
IEEE
141views Hardware» more  ICCAD 2010»
13 years 5 months ago
Local clock skew minimization using blockage-aware mixed tree-mesh clock network
Clock network construction is one key problem in high performance VLSI design. Reducing the clock skew variation is one of the most important objectives during clock network synthe...
Linfu Xiao, Zigang Xiao, Zaichen Qian, Yan Jiang, ...
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 7 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg