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BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
TMC
2012
11 years 10 months ago
Elevator-Assisted Sensor Data Collection for Structural Health Monitoring
—Sensor networks nowadays are widely used for structural health monitoring; for example, the sensor monitoring system deployed on the Guangzhou New TV Tower, China. While wired s...
Tao Zhang, Dan Wang, Jiannong Cao, Yi Qing Ni, Lij...
FLAIRS
2004
13 years 9 months ago
Structure Discovery from Sequential Data
In this paper we describe I-Subdue, an extension to the Subdue graph-based data mining system. I-Subdue operates over sequentially received relational data to incrementally discov...
Jeffrey Coble, Diane J. Cook, Lawrence B. Holder, ...
IJAR
2010
152views more  IJAR 2010»
13 years 6 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
KBSE
1998
IEEE
13 years 11 months ago
An Automated Framework for Structural Test-Data Generation
Structural testing criteria are mandated in many software development standards and guidelines. The process of generating test-data to achieve 100 coverage of a given structural c...
Nigel Tracey, John A. Clark, Keith Mander, John A....