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GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 3 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
EH
1999
IEEE
141views Hardware» more  EH 1999»
15 years 2 months ago
On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions
An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16bit address space into an 8-bit one. The target technology is FPGA,...
Ernesto Damiani, Andrea Tettamanzi, Valentino Libe...
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 1 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
WSC
2008
15 years 5 days ago
Implementable MSE-optimal dynamic partial-overlapping batch means estimators for steady-state simulations
Estimating the variance of the sample mean from a stochastic process is essential in assessing the quality of using the sample mean to estimate the population mean which is the fu...
Wheyming Tina Song, Mingchang Chih
WSC
2008
15 years 5 days ago
Comparison of bayesian priors for highly reliable limit models
Limit standards are probability interval requirements for proportions. Simulation literature has focused on finding the confidence interval of the population proportion, which is ...
Roy R. Creasey Jr., K. Preston White, Linda B. Wri...