Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Using PVS (Prototype Verification System), we prove that an industry designed scheduler for a smartcard personalization machine is safe and optimal. This scheduler has previously ...
Leonard Lensink, Sjaak Smetsers, Marko C. J. D. va...
System specifications have long been expressed through automata-based languages, enabling verification techniques such as model checking. These verification techniques can assess ...
Abstract. Model checking suffers not only from the state-space explosion problem, but also from the environment modeling problem: how can one create an accurate enough model of the...
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...