Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
— In an effort to better understand connectivity and capacity in wireless networks, the log-normal shadowing radio propagation model is used to capture radio irregularities and o...
Torsten Muetze, Patrick Stuedi, Fabian Kuhn, Gusta...
Abstract—The current global Internet routing frequently suffers from cascading routing changes and slow routing convergence. Such instability can significantly affect the perfor...
Lan Wang, Malleswari Saranu, Joel Gottlieb, Dan Pe...
A major challenge in robotics and artificial intelligence lies in creating robots that are to cooperate with people in human-populated environments, e.g. for domestic assistance ...
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...