In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Often a rule-based system is tested by checking its performance on a number of test cases with known solutions, modifying the system until it gives the correct results for all or ...
This paper discusses the concept of validation and proposes a multistage validation framework for traffic simulation models. The framework consists of conceptual validation and op...
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
We present a novel approach which facilitates formal verification of component-based software application families using model checking. This approach enables effective composition...