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» Informative sampling for large unbalanced data sets
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BMCBI
2010
108views more  BMCBI 2010»
14 years 12 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
UAI
2003
15 years 1 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
CEC
2009
IEEE
15 years 6 months ago
Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling
— Reservoir modeling is an on-going activity during the production life of a reservoir. One challenge to constructing accurate reservoir models is the time required to carry out ...
Tina Yu, Dave Wilkinson
BMCBI
2007
148views more  BMCBI 2007»
14 years 11 months ago
Blast sampling for structural and functional analyses
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
Anne Friedrich, Raymond Ripp, Nicolas Garnier, Emm...
PR
2008
102views more  PR 2008»
14 years 11 months ago
Classification in an informative sample subspace
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Guoping Qiu, Jianzhong Fang