Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
This paper introduces TUTW – Temporal Uncertainty Time Warp – a control engine designed for an exploitation of temporal uncertainty (TU) in general optimistic simulations, and...
Recently, most of the research in NLP has concentrated on the creation of applications coping with textual entailment. However, there still exist very few resources for the evalua...
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...