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» Using Data Mining to Estimate Missing Sensor Data
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BMCBI
2006
116views more  BMCBI 2006»
15 years 3 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...
CISS
2008
IEEE
15 years 9 months ago
Information theory based estimator of the number of sources in a sparse linear mixing model
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
Radu Balan
KDD
1995
ACM
130views Data Mining» more  KDD 1995»
15 years 6 months ago
Compression-Based Evaluation of Partial Determinations
Our work tackles the problem of finding partial determinations in databases and proposes a compressionbased measure to evaluate them. Partial determinations can be viewed as gener...
Bernhard Pfahringer, Stefan Kramer
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 3 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
15 years 9 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...