Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...
Sovereign information sharing allows autonomous entities to compute queries across their databases in such a way that nothing apart from the result is revealed. We describe an imp...
Rakesh Agrawal, Dmitri Asonov, Ramakrishnan Srikan...
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Abstract. Intrinsic Monitoring is a method of collecting and disseminating node specific monitoring data throughout an IPv6 network by using the IPv6 extension headers as a carrie...