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MODELS
2009
Springer
14 years 2 months ago
Towards Composite Model Transformations Using Distributed Graph Transformation Concepts
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
Stefan Jurack, Gabriele Taentzer
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
ACSD
2005
IEEE
126views Hardware» more  ACSD 2005»
14 years 1 months ago
Modelling and Analysis of Distributed Simulation Protocols with Distributed Graph Transformation
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
Juan de Lara, Gabriele Taentzer
CCGRID
2011
IEEE
12 years 11 months ago
Small Discrete Fourier Transforms on GPUs
– Efficient implementations of the Discrete Fourier Transform (DFT) for GPUs provide good performance with large data sizes, but are not competitive with CPU code for small data ...
S. Mitra, A. Srinivasan
CW
2004
IEEE
13 years 11 months ago
Transforming Heterogeneous Product Concepts through Mapping Structures
An unfavourable phenomenon is observed: current electronic markets are fragmented and have formed a set of autonomously distributed product information islands. This leads to hete...
Jingzhi Guo, Chengzheng Sun, David Chen