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102
Voted
CVPR
2006
IEEE
16 years 2 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
110
Voted
WWW
2008
ACM
16 years 1 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...
120
Voted
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
16 years 29 days ago
Making holistic schema matching robust: an ensemble approach
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
Bin He, Kevin Chen-Chuan Chang
SOSP
2005
ACM
15 years 9 months ago
Hibernator: helping disk arrays sleep through the winter
Energy consumption has become an important issue in high-end data centers, and disk arrays are one of the largest energy consumers within them. Although several attempts have been...
Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, ...
113
Voted
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
15 years 7 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell