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» On Bayesian model and variable selection using MCMC
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AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
15 years 4 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
WSC
2004
14 years 11 months ago
Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications
In this paper we describe a methodology that includes the complementary use of simulated annealing and response surface methodology (RSM). The methodology was developed for analys...
Jeffrey B. Schamburg, Donald E. Brown
CIKM
2011
Springer
13 years 9 months ago
Estimating selectivity for joined RDF triple patterns
A fundamental problem related to RDF query processing is selectivity estimation, which is crucial to query optimization for determining a join order of RDF triple patterns. In thi...
Hai Huang 0003, Chengfei Liu
ECML
2006
Springer
15 years 1 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
CCE
2011
14 years 4 months ago
Development and validation of a dynamic model for regeneration of passivating baths using membrane contactors
Selective liquid membranes have been traditionally employed for liquid/liquid and gas/liquid mass transfer in a wide range of applications. In particular, the Emulsion Pertraction...
Eugenio Bringas, Rosa Mediavilla, Ana María...