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JMLR
2006
85views more  JMLR 2006»
14 years 11 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
123
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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 12 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
JAIR
2010
94views more  JAIR 2010»
14 years 10 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng
DAGSTUHL
2011
13 years 11 months ago
Feature Extraction for DW-MRI Visualization: The State of the Art and Beyond
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Thomas Schultz
BMCBI
2010
116views more  BMCBI 2010»
14 years 12 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...