Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
A specification language was defined to outline sections of cities as cell spaces. The goal is to allow the definition of complex traffic models in a simple fashion for the modele...
Existing bidirectional model transformation languages are mainly state-based: a transformation is considered composed from functions whose inputs and outputs only consist of origin...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
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...