83 search results - page 2 / 17 » Popular Ensemble Methods: An Empirical Study |
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
With the growing popularity of video sharing web sites and the increasing use of consumer-level video capture devices, new algorithms are needed for intelligent searching and inde...
ML
2010
ACM
13 years 1 months ago
2010
ACM
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
BNCOD
2008
13 years 7 months ago
2008
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
CIKM
2009
Springer
14 years 25 days ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...