In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
We believe that the possibility to use SPARQL as a front end to heterogeneous data without significant cost in performance or expressive power is key to RDF taking its rightful pla...
The literature on industrial clusters has not focused heavily on the role of the ICT infrastructure, nor on the potential implications of electronic commerce . In this paper, we e...
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Standards for distribution middleware sometimes impose restrictions and often allow the implementations to decide on aspects that are fundamental to the correct and efficient behav...