Web crawlers are increasingly used for focused tasks such as the extraction of data from Wikipedia or the analysis of social networks like last.fm. In these cases, pages are far m...
Franziska von dem Bussche, Klara A. Weiand, Benedi...
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Creating and debugging programs for wireless embedded networks (WENs) is notoriously difficult. Macroprogramming is an emerging technology that aims to address this by providing ...
Tamim I. Sookoor, Timothy W. Hnat, Pieter Hooimeij...
Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and sca...
Wilbur Peng, William Krueger, Alexander Grushin, P...
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...