This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Described are new approaches for evaluating computer program representations for use in automated search methodologies such as the evolutionary design of software. Previously, prog...
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
The "VM Turntable" demonstrator at iGRID 2005 pioneered the integration of Virtual Machines (VMs) with deterministic "lightpath" network services across MAN/WA...
Franco Travostino, Paul Daspit, Leon Gommans, Chet...