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...
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 † ...
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...
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...
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...