Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
— Grid infrastructures are in operation around the world, federating an impressive collection of computational resources and a wide variety of application software. In this conte...
Asterios Katsifodimos, George Pallis, Marios D. Di...
This paper presents “Self-Chord”, a bio-inspired P2P algorithm that can be profitably adopted to build the information service of distributed systems, in particular Computati...
Agostino Forestiero, Carlo Mastroianni, Michela Me...
— We present new combinatorial algorithms for Boolean matrix multiplication (BMM) and preprocessing a graph to answer independent set queries. We give the first asymptotic impro...
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...