Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Abstract. In enterprise application development and other software construction projects, a critical success factor is to make sound architectural decisions. Text templates and too...
Olaf Zimmermann, Thomas Gschwind, Jochen Malte K&u...
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine ...
James Fogarty, Andrew Jensen Ko, Htet Htet Aung, E...