Abstract. We consider the problem of learning a user's ordinal preferences on a multiattribute domain, assuming that her preferences are lexicographic. We introduce a general ...
Collaborations over distance must contend with the loss of the rich, subtle interactions that co-located teams use to coordinate their work. Previous research has suggested that o...
James D. Herbsleb, Audris Mockus, Thomas A. Finhol...
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
In this paper, we develop an analytical framework to measure the vulnerability of superpeer networks against attack. Two different kinds of attacks namely deterministic and degre...
Bivas Mitra, Fernando Peruani, Sujoy Ghose, Niloy ...
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...