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BIS
2009
168views Business» more  BIS 2009»
15 years 8 months ago
Defining Adaptation Constraints for Business Process Variants
Abstract. In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typical...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori,...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 8 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
BMCBI
2007
161views more  BMCBI 2007»
15 years 7 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
DEBU
2010
180views more  DEBU 2010»
15 years 7 months ago
Searching RDF Graphs with SPARQL and Keywords
The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge ba...
Shady Elbassuoni, Maya Ramanath, Ralf Schenkel, Ge...
BMCBI
2006
216views more  BMCBI 2006»
15 years 7 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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