1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Increasingly, systems are composed from independently developed parts, and mechanisms that allow those parts to interact (connectors). In many situations, specialized forms of int...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...
Allocation of bandwidth among components is a fundamental problem in compositional real-time systems. Stateof-the-art algorithms for bandwidth allocation use either exponential-ti...
Nowadays the increasing complexity of cars has become a major challenge due to the growing rate of electronic components and software. This trend has an impact on all phases of the...