In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
: We study the weight distribution and list-decoding size of Reed-Muller codes. Given a weight parameter, we are interested in bounding the number of Reed-Muller codewords with a w...
Abstract. We continue the recently initiated study of the computational aspects of weak saddles, an ordinal set-valued solution concept proposed by Shapley. Brandt et al. gave a po...
Felix Brandt, Markus Brill, Felix A. Fischer, Jan ...
In a realistic sensor network, in particular with a nonuniform deployment, sensor nodes inevitably have varying workloads. This causes a natural problem that some sensor nodes are...
The role-based access control (RBAC) model has proven to be cost effective to reduce the complexity and costs of access permission management. To maximize the advantages offered...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...