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BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
EACL
2003
ACL Anthology
13 years 9 months ago
NLP for Indexing and Retrieval of Captioned Photographs
We present a text-based approach for the automatic indexing and retrieval of digital photographs taken at crime scenes. Our research prototype, SOCIS, goes beyond keyword-based ap...
Horacio Saggion, Katerina Pastra, Yorick Wilks
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
14 years 2 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
ECMDAFA
2006
Springer
136views Hardware» more  ECMDAFA 2006»
13 years 11 months ago
Finding a Path to Model Consistency
A core problem in Model Driven Engineering is model consistency achievement: all models must satisfy relationships constraining them. Active consistency techniques monitor and cont...
Gregory de Fombelle, Xavier Blanc, Laurent Rioux, ...