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» Experimental Design for Variable Selection in Data Bases
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CVPR
2012
IEEE
13 years 8 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
CIKM
2011
Springer
14 years 6 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 10 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
176
Voted
VLC
2008
146views more  VLC 2008»
15 years 6 months ago
Interactive visual analysis of geographic data on mobile devices based on dynamic queries
The capabilities of current mobile devices, especially PDAs, are making it possible to design and develop mobile applications that employ visual techniques for using geographic da...
Stefano Burigat, Luca Chittaro
WWW
2006
ACM
16 years 6 months ago
Selective early request termination for busy internet services
Internet traffic is bursty and network servers are often overloaded with surprising events or abnormal client request patterns. This paper studies a load shedding mechanism called...
Jingyu Zhou, Tao Yang