Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
In machine translation (MT) dierent levels of representation can be used to translate a source language sentence onto its target language equivalent. These levels have to be relat...
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
This paper presents the real-time model checker RAVEN and related theoretical background. RAVEN augments the efficiency of traditional symbolic model checking with possibilities to...