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EVOW
2004
Springer
15 years 12 months ago
Iteratively Inferring Gene Regulatory Networks with Virtual Knockout Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm op...
Christian Spieth, Felix Streichert, Nora Speer, An...
PVLDB
2010
106views more  PVLDB 2010»
15 years 4 months ago
Just-in-time Data Integration in Action
Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...
Martin Hentschel, Laura M. Haas, Renée J. M...
ICASSP
2010
IEEE
15 years 6 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
DMIN
2006
105views Data Mining» more  DMIN 2006»
15 years 8 months ago
Development of an Optimal Neural Network for Avalanche Forecast in Himalayan Region
- This paper deals with the application of a well-known data mining technique, multi-layer back-propagation neural network, for forecasting of an avalanche in Himalayan region. Met...
Rashpal Kaur, Mahesh Bansal, Atul Parti, V. Rihani
DAGM
2008
Springer
15 years 8 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...