We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
The main goal of this paper is to develop deeper insights into viable placement-level optimization of routing. Two primary contributions are made. First, an experimental framework...
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
In this paper, we present an approach for identity and access management (IAM) in the context of (cross-organizational) serviceoriented architectures (SOA). In particular, we deļ¬...
Waldemar Hummer, Patrick Gaubatz, Mark Strembeck, ...
Frequency interleaving is introduced as a means of conceptualizing and co-scheduling hardware and software behaviors so that software models with conceptually unbounded state and ...