This paper presents a new approach that can be used to speed up SystemC simulations by automatically optimizing the model for simulation. The work addresses the inefficiency of th...
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Research was conducted in the area of sustainable knowledge extraction from e-business systems and technologies. Differentiating approaches from three notable authors in the field...