Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
We revisit the classical chase procedure, studying its properties as well as its applicability to standard database problems. We settle (in the negative) the open problem of decid...
We analyse scenarios in which self-interested agents negotiate with each other in order to agree on deals to exchange resources. We consider two variants of the framework, one whe...
Ulrich Endriss, Nicolas Maudet, Fariba Sadri, Fran...
Low latency anonymity systems are susceptive to traffic analysis attacks. In this paper, we propose a dependent link padding scheme to protect anonymity systems from traffic analy...
We study bargaining games between suppliers and manufacturers in a network context. Agents wish to enter into contracts in order to generate surplus which then must be divided amon...