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BMCBI
2006
82views more  BMCBI 2006»
15 years 6 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
CCE
2006
15 years 6 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
CCE
2006
15 years 6 months ago
New approaches for representing, analyzing and visualizing complex kinetic transformations
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
Ioannis P. Androulakis
IJISTA
2008
132views more  IJISTA 2008»
15 years 6 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb
IDA
2006
Springer
15 years 6 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan