On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
—This paper proposes a novel method for data editing. The goal of data editing in instance-based learning is to remove instances from a training set in order to increase the accu...
Robust video streaming over time-varying, error-prone wireless LANs (WLANs) poses many challenges. In this paper, we present a Time-based Opportunistic Relay (TOR) scheme for high...
: In this paper we propose the use of an argument-based model – ProCLAIM – that has the potential to minimize ecological impact of industrial wastewater discharges into water b...
Provenance is generally defined as the documentation of a process that leads to some result, and has long been recognised as being fundamental to the development of problem solvi...
Ian Wootten, Shrija Rajbhandari, Omer F. Rana, Jas...