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VAMOS
2010
Springer
13 years 9 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
ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 7 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
PROCEDIA
2010
148views more  PROCEDIA 2010»
13 years 2 months ago
SysCellC: a data-flow programming model on multi-GPU
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
Dominique Houzet, Sylvain Huet, Anis Rahman
JODL
2006
136views more  JODL 2006»
13 years 8 months ago
MIT's CWSpace project: packaging metadata for archiving educational content in DSpace
This paper describes work in progress on the research project CWSpace, sponsored by the MIT and Microsoft Research iCampus program, to investigate the metadata standards and protoc...
William Reilly, Robert Wolfe, MacKenzie Smith
WADT
1998
Springer
13 years 11 months ago
An Algebra of Graph Derivations Using Finite (co-) Limit Double Theories
Graph transformation systems have been introduced for the formal specification of software systems. States are thereby modeled as graphs, and computations as graph derivations acco...
Andrea Corradini, Martin Große-Rhode, Reiko ...