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JMLR
2006
85views more  JMLR 2006»
13 years 4 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...
JMLR
2010
108views more  JMLR 2010»
12 years 11 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
VIS
2004
IEEE
115views Visualization» more  VIS 2004»
14 years 6 months ago
Interactive Poster: Illustrating Different Convection Velocities of Turbulent Flow
The visualization of any vector field is dependent on the relative velocity of the observer. In experimentally generated vector fields, the average value of the streamwise compone...
Timothy Urness, Victoria Interrante, Ellen Longmir...
PAMI
2002
136views more  PAMI 2002»
13 years 4 months ago
Unsupervised Feature Selection Using Feature Similarity
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
PAMI
2010
185views more  PAMI 2010»
13 years 3 months ago
Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
Petr Somol, Jana Novovicová