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JMLR
2010
160views more  JMLR 2010»
15 years 1 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
INFOCOM
2010
IEEE
15 years 4 months ago
On Global Modeling of Backbone Network Traffic
We develop a probabilistic framework for global modeling of the traffic over a computer network. The model integrates existing single
Stilian Stoev, George Michailidis, Joel Vaughan
ENTCS
2007
116views more  ENTCS 2007»
15 years 6 months ago
Handling Model Changes: Regression Testing and Test-Suite Update with Model-Checkers
Several model-checker based methods to automated test-case generation have been proposed recently. The performance and applicability largely depends on the complexity of the model...
Gordon Fraser, Bernhard K. Aichernig, Franz Wotawa
ENTCS
2006
115views more  ENTCS 2006»
15 years 6 months ago
Using ATL for Checking Models
Working with models often requires the ability to assert the compliance of a given model to a given set of constraints. Some tools are able to check OCL invariants on UML models. ...
Jean Bézivin, Frédéric Jouaul...
VAMOS
2010
Springer
15 years 8 months ago
Variability Modelling for Model-Driven Development of Software Product Lines
Model-driven development of software-intensive systems aims at designing systems by stepwise model refinement. In order to create software product lines by model-driven development...
Ina Schaefer