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» Statistical Analysis of Semi-Supervised Regression
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CCE
2007
13 years 7 months ago
A systematic approach for soft sensor development
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analy...
Bao Lin, Bodil Recke, Jørgen K. H. Knudsen,...
BMCBI
2007
149views more  BMCBI 2007»
13 years 7 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
BMCBI
2005
107views more  BMCBI 2005»
13 years 7 months ago
Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach
Background: In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and with...
Jun Lu, John K. Tomfohr, Thomas B. Kepler
EOR
2011
127views more  EOR 2011»
13 years 2 months ago
Methodology for determining the acceptability of system designs in uncertain environments
In practice, managers often wish to ascertain that a particular engineering design of a production system meets their requirements. The future environment of this design is likely...
Jack P. C. Kleijnen, Henri Pierreval, Jin Zhang
ESWS
2009
Springer
14 years 2 months ago
ONTOCOM Revisited: Towards Accurate Cost Predictions for Ontology Development Projects
Reliable methods to assess the costs and benefits of ontologies are an important instrument to demonstrate the tangible business value of semantic technologies within enterprises,...
Elena Paslaru Bontas Simperl, Igor O. Popov, Tobia...