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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...
FASE
2006
Springer
13 years 11 months ago
A Graph-Based Approach to Transform XML Documents
Abstract. As XML diffusion keeps increasing, it is today common practice for most developers to deal with XML parsing and transformation. XML is used as format to e.g. render data,...
Gabriele Taentzer, Giovanni Toffetti Carughi
ICMT
2009
Springer
14 years 2 months ago
Supporting Parallel Updates with Bidirectional Model Transformations
Abstract. Model-driven software development often involves several related models. When models are updated, the updates need to be propagated across all models to make them consist...
Yingfei Xiong, Hui Song, Zhenjiang Hu, Masato Take...
ASPDAC
2005
ACM
125views Hardware» more  ASPDAC 2005»
14 years 1 months ago
A formalism for functionality preserving system level transformations
— With the rise in complexity of modern systems, designers are spending a significant time on at the system level of abstraction. This paper introduces Model Algebra, a formalis...
Samar Abdi, Daniel Gajski
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Modeling biochemical transformation processes and information processing with Narrator
Background: Software tools that model and simulate the dynamics of biological processes and systems are becoming increasingly important. Some of these tools offer sophisticated gr...
Johannes J. Mandel, Hendrik Fuß, Niall M. Pa...