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» Approximations in Distributed Optimization
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 8 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 8 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 8 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
ICS
2005
Tsinghua U.
15 years 8 months ago
High performance support of parallel virtual file system (PVFS2) over Quadrics
Parallel I/O needs to keep pace with the demand of high performance computing applications on systems with ever-increasing speed. Exploiting high-end interconnect technologies to ...
Weikuan Yu, Shuang Liang, Dhabaleswar K. Panda
153
Voted
IPSN
2005
Springer
15 years 8 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
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