The model-driven development of model transformations requires both a technique to model model transformations as well as a means to transform transformation models. Therefore, t...
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
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,...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
To focus the comparison of languages for model checking and transformation on criteria that matter in practical development, there is an urgent need for more, and more realistic, ...