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» Experimental Design for Variable Selection in Data Bases
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MOBIHOC
2008
ACM
16 years 5 months ago
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects data from sensor nodes via short-range co...
Guoliang Xing, Tian Wang, Weijia Jia, Minming Li
ICASSP
2011
IEEE
14 years 9 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
JMLR
2010
162views more  JMLR 2010»
15 years 23 days ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
ACTA
2006
104views more  ACTA 2006»
15 years 6 months ago
Safe projections of binary data sets
Abstract Selectivity estimation of a boolean query based on frequent itemsets can be solved by describing the problem by a linear program. However, the number of variables in the e...
Nikolaj Tatti