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AIME
2007
Springer
16 years 19 days ago
Enhancing Automated Test Selection in Probabilistic Networks
Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
Danielle Sent, Linda C. van der Gaag
CIG
2005
IEEE
16 years 2 days ago
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners
— We study by computer simulation a population of individuals playing the prisoner’s dilemma game. Each player has an invariable strategy (cooperate or defect) but the network ...
Leslie Luthi, Mario Giacobini, Marco Tomassini
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 12 months ago
Identifying valid solutions for the inference of regulatory networks
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimi...
Christian Spieth, Felix Streichert, Nora Speer, An...
AUSAI
2004
Springer
15 years 12 months ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
NPC
2004
Springer
15 years 11 months ago
Online Mining in Sensor Networks
Online mining in large sensor networks just starts to attract interest. Finding patterns in such an environment is both compelling and challenging. The goal of this position paper ...
Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, D...