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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 22 days ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 22 days ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
STACS
2007
Springer
16 years 20 days ago
Broadcasting vs. Mixing and Information Dissemination on Cayley Graphs
One frequently studied problem in the context of information dissemination in communication networks is the broadcasting problem. In this paper, we study the following randomized b...
Robert Elsässer, Thomas Sauerwald
UIC
2007
Springer
16 years 20 days ago
Self-deployment of Mobile Nodes in Hybrid Sensor Networks by AHP
Abstract. The proper deployment of sensors is very important for the successful completion of the sensing tasks due to the inevitable relation with the physical world. This paper p...
Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungy...
FOCS
2006
IEEE
16 years 19 days ago
Better lossless condensers through derandomized curve samplers
Lossless condensers are unbalanced expander graphs, with expansion close to optimal. Equivalently, they may be viewed as functions that use a short random seed to map a source on ...
Amnon Ta-Shma, Christopher Umans