—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
The molecular diversity of viruses complicates the interpretation of viral genomic and proteomic data. To make sense of viral gene functions, investigators must be familiar with t...
Chantal Hulo, Edouard De Castro, Patrick Masson, L...
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
We provide an analysis of current and future algorithms for signature and encryption in the EMV standards in the case where a single key-pair is used for both signature and encrypt...
Jean Paul Degabriele, Anja Lehmann, Kenneth G. Pat...
Abstract. We provide a complete system of transformation rules for semantic unification with respect to theories defined by convergent rewrite systems. We show that this standard u...