Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
In this paper we study secure information flow policies in the sense of Meadows [12] and others for aggregated datasets, collectively. We first present a method for combining di...
When the environmental conditions are stable, a typical Wireless Sensor Network (WSN) application may sense and process very similar or constant data values for long durations. Thi...
— This paper presents a fail-safe platform on which cooperative mobile robots rely for their motion. The platform consists of a collision prevention protocol for a dynamic group ...