— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
This paper investigates the computational complexity of a fundamental problem in multi-agent systems: given an environment together with a specification of some task, can we const...
The provision of efficient methods and tool support for the development and engineering of distributed systems is a key enabling factor for the evolution of Information Technology...
When integrating dierent system components, the interaction between dierent features is often error prone. Typically errors occur on interruption, concurrency or disabling/ enabli...
In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeli...