317 search results - page 17 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
DAGSTUHL
2009
14 years 10 months ago
2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
TNN
2008
14 years 9 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
CORR
2011
Springer
14 years 4 months ago
2011
Springer
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
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CANDC
2005
ACM
14 years 9 months ago
2005
ACM
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...