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...
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,...
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...
— 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...
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...