We study the problem of learning the probability distribution of a multinomial variable from an observed sequence of signals, starting in a condition of ignorance about this distribution. We show that not all signals are suited for producing non-vacuous inferences under prior ignorance. To...

Bayes-Nets are a suitable means for probabilistic inference. Such nets are very restricted concerning the communicationlanguage with the user, however. MinREnt-inference in a conditional environment is a powerfulcounterpart to this concept. Here conditional expressions of high complexity instead...

"[This book] is a pivotal book that features the latest research perspectives on the implementation of effective information systems in business contexts. Highlighting relevant topics such as data security, investment viability, and operational risk management, this book is ideally designed for...

The deployment of EU Election Observation Missions (EOMs) has become a standard intervention of EU foreign policy over the last eight years. Since 2000, more than 50 EU EOMs have been deployed to Africa, the Middle East, Latin-America and Asia. The methodology of EU EOMs is being consolidated in...

In light of the progressive integration of drones into the European civil airspace and the emergence of numerous applications of drones (ranging from leisure, services, photography, logistics, surveillance of infrastructures)there is a real need to focus on the challenges that a large-scale...