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» A Taxonomy of Model Transformation
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112
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PAMI
2008
140views more  PAMI 2008»
15 years 3 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
123
Voted
BTW
2007
Springer
114views Database» more  BTW 2007»
15 years 10 months ago
Transformation of Models in(to) a Generic Metamodel
: Model Management aims at developing new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be performed by means of a set...
David Kensche, Christoph Quix
97
Voted
ITC
2003
IEEE
126views Hardware» more  ITC 2003»
15 years 9 months ago
Deformations of IC Structure in Test and Yield Learning
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...
127
Voted
WSC
1998
15 years 5 months ago
Military Simulation Worlds and Organizational Learning
The operational benefits of having a learning organization include at the very minimum increased organizational competitiveness and responsiveness in a given realm of competition....
Michael D. Proctor, Justin C. Gubler
131
Voted
SAC
2006
ACM
15 years 9 months ago
Evaluation of rule-based modularization in model transformation languages illustrated with ATL
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...
Ivan Kurtev, Klaas van den Berg, Fréd&eacut...