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IJAR
2008
92views more  IJAR 2008»
13 years 10 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
HICSS
2000
IEEE
144views Biometrics» more  HICSS 2000»
14 years 2 months ago
Diffusion Follows Structure - A Network Model of the Software
By conducting simulations, we show that the structure of the personal networks significantly influences the diffusion processes in network effect markets like the software market....
Falk von Westarp, Oliver Wendt
ICSM
2006
IEEE
14 years 4 months ago
Guiding the Application of Design Patterns Based on UML Models
Software design patterns are documented best practice solutions that can be applied to reoccurring problems. Although well documented, there are often opportunities to apply them ...
Lionel C. Briand, Yvan Labiche, Alexandre Sauve
ICML
2010
IEEE
13 years 11 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
ECEASST
2006
95views more  ECEASST 2006»
13 years 10 months ago
Towards Translating Graph Transformation Approaches by Model Transformations
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...
Frank Hermann, Harmen Kastenberg, Tony Modica