The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
In the development of software with evolving requirements, activities of requirements-engineering and management are present through the whole software development process and aff...
Jewgenij Botaschanjan, Andreas Fleischmann, Markus...
With the advent of cognitive radio technology, new paradigms for spectrum access can achieve near-optimal spectrum utilisation by letting each user sense and utilise available s...
Joe Bater, Hwee Pink Tan, Kenneth N. Brown, Linda ...
The OpenMP standard was conceived to parallelize dense array-based applications, and it has achieved much success with that. Recently, a novel tasking proposal to handle unstructur...