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» Clarifying Goal Models
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141
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JMLR
2006
103views more  JMLR 2006»
15 years 3 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
93
Voted
CAISE
2005
Springer
15 years 9 months ago
A Semiotic Approach to UML models
In this paper we are trying to clarify, with the aid of some semiotic notions, the confusions that lie around the widely used terms “analysis model” and “design model” in s...
Gonzalo Génova, María Cruz Valiente,...
SAC
2006
ACM
15 years 3 months ago
Transformation of yEPC business process models to YAWL
Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...
Jan Mendling, Michael Moser, Gustaf Neumann
CMSB
2010
Springer
14 years 10 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
141
Voted
EMSOFT
2006
Springer
15 years 7 months ago
A timing model for synchronous language implementations in simulink
We describe a simple scheme for mapping synchronous language models, in the form of Boolean Mealy Machines, into timed automata. The mapping captures certain idealized implementat...
Timothy Bourke, Arcot Sowmya