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» Measuring and Predicting Object Importance
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ECML
2007
Springer
14 years 12 days ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
APVIS
2006
13 years 10 months ago
Predicting graph reading performance: a cognitive approach
Performance and preference measures are commonly used in the assessment of visualization techniques. This is important and useful in understanding differences in effectiveness bet...
Weidong Huang, Seok-Hee Hong, Peter Eades
GIS
2007
ACM
14 years 2 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon
BMCBI
2006
117views more  BMCBI 2006»
13 years 8 months ago
Incorporating background frequency improves entropy-based residue conservation measures
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
Kai Wang, Ram Samudrala
CVPR
2008
IEEE
14 years 10 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...