In this paper we study the modelling of consensus reaching in a ‘soft’ environment, i.e. when the individual testimonies are expressed as fuzzy preference relations. Here cons...
Mario Fedrizzi, Michele Fedrizzi, Ricardo A. Marqu...
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
We consider using trust information to improve the anonymity provided by onion-routing networks. In particular, we introduce a model of trust in network nodes and use it to design...