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IPSN
2009
Springer
14 years 3 months ago
Poster abstract: Enabling reliable and high-fidelity data center sensing
bstract: Enabling Reliable and High-Fidelity Data Center Sensing Chieh-Jan Mike Liang† , Jie Liu‡ , Liqian Luo , Andreas Terzis† † Johns Hopkins University ‡ Microsoft Re...
Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas...
APIN
2010
107views more  APIN 2010»
13 years 8 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
14 years 8 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 1 months ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff
IPSN
2010
Springer
14 years 3 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