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BMCBI
2006
82views more  BMCBI 2006»
15 years 3 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 9 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
CSO
2009
IEEE
15 years 10 months ago
Association Rules Based Data Mining on Test Data of Physical Health Standard
With the development of modern electronic and computer technologies, sports training and competition became more and more technical. A great deal of data were recorded, including ...
Lan Yu
110
Voted
ICPR
2002
IEEE
16 years 4 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
131
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DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 4 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...