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WSC
2004
13 years 5 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone
BMCBI
2006
211views more  BMCBI 2006»
13 years 4 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
AISS
2010
147views more  AISS 2010»
13 years 1 months ago
Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
Recently, due to problems arising from lattice mismatch in thin film growth in semiconductor manufacturing industry, researchers have shown great interest in modeling the physioch...
Abdul Majid, Yeon Soo Lee
ECIS
2004
13 years 5 months ago
Qualitative Analysis Software applied to IS Research - Developing a coding strategy
In the past two decades, the IS research community underwent an intensive debate and fought hard to legitimise interpretive and qualitative research paradigms. Now that the war is...
Brian O'Flaherty, Jason Whalley
ISCI
2008
165views more  ISCI 2008»
13 years 4 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...