We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
A scalable approach to trust negotiation is required in Web service environments that have large and dynamic requester populations. We introduce Trust-Serv, a model-driven trust n...
Abstract—The traditional virtual machine usage model advocates placing security mechanisms in a trusted VM layer and letting the untrusted guest OS run unaware of the presence of...
Daniela Alvim Seabra de Oliveira, Shyhtsun Felix W...