Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Solutions to complex tasks often require the cooperation of multiple robots, however, developing multi-robot policies can present many challenges. In this work, we introduce teach...
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Software Process Improvement (SPI) is a recognised systematic approach for improving the capability of software organisations. Such initiatives have met with a number of difficult...
Sensor networks are one important building block towards the realisation of context-aware applications. Suitable communication protocols and middleware solutions are necessary to ...