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EJC
2000
13 years 9 months ago
A Communicating Tree Model for Generating Network Applications
We present a new model for generating network applications. Our model is based on trees communicating with each other. Our model is simple to understand, but yet powerful enough to...
Tomohiro Matsuzaki, Takehiro Tokuda
ECMDAFA
2009
Springer
109views Hardware» more  ECMDAFA 2009»
14 years 2 months ago
Uniform Random Generation of Huge Metamodel Instances
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
Alix Mougenot, Alexis Darrasse, Xavier Blanc, Mich...
NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
SPLC
2008
13 years 9 months ago
Automated Domain-Specific Modeling Languages for Generating Framework-Based Applications
The adoption of Domain-Specific Modeling Languages (DSMLs) for generating framework-based applications has proved to be an effective way of enforcing the correct use of frameworks...
André L. Santos, Kai Koskimies, Antó...
AMC
2007
80views more  AMC 2007»
13 years 7 months ago
A dynamic generating graphical model for point-sets matching
This paper presents a new dynamic generating graphical model for point-sets matching. The existing algorithms on graphical models proved to be quite robust to noise but are suscep...
Xuan Zhao, Shengjin Wang, Xiaoqing Ding