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» Analysis of variance for fuzzy data
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JDCTA
2010
228views more  JDCTA 2010»
13 years 3 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
CEC
2005
IEEE
14 years 2 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi
ICMLA
2008
13 years 10 months ago
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
Daniela Mayumi Ushizima, Oliver Rübel, Prabha...
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide