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» Making sense of microarray data distributions
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IPSN
2010
Springer
14 years 4 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 2 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...
WCNC
2008
IEEE
14 years 4 months ago
Distributed Energy Efficient Spectrum Access in Wireless Cognitive Radio Sensor Networks
—In this paper, a wireless cognitive radio sensor network is considered, where each sensor node is equipped with cognitive radio and the network is a multi-carrier system operati...
Song Gao, Lijun Qian, Dhadesugoor R. Vaman
VTC
2010
IEEE
195views Communications» more  VTC 2010»
13 years 7 months ago
Efficiency of Distributed Compression and Its Dependence on Sensor Node Deployments
Abstract--In this paper we analyze the energy-efficiency of distributed compression and its dependence on the node deployment strategies for Wireless Sensor Networks (WSNs). Reduce...
Frank Oldewurtel, Janne Riihijärvi, Petri M&a...
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
14 years 10 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee