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» Experimental Comparison of Feature Subset Selection Methods
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PRL
2008
213views more  PRL 2008»
13 years 8 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
RT
2004
Springer
14 years 2 months ago
PointWorks: Abstraction and Rendering of Sparsely Scanned Outdoor Environments
ks: Abstraction and Rendering of Sparsely Scanned Outdoor Environments Hui Xu, Nathan Gossett and Baoquan Chen University of Minnesota Digital Technology Center at Twin Cities † ...
Hui Xu, Nathan Gossett, Baoquan Chen
HUC
2009
Springer
14 years 1 months ago
Eye movement analysis for activity recognition
In this work we investigate eye movement analysis as a new modality for recognising human activity. We devise 90 different features based on the main eye movement characteristics:...
Andreas Bulling, Jamie A. Ward, Hans Gellersen, Ge...
PROMISE
2010
13 years 3 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
BMCBI
2006
202views more  BMCBI 2006»
13 years 8 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau