We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
—Software instrumentation is a powerful and flexible technique for analyzing the dynamic behavior of programs. By inserting extra code in an application, it is possible to study...
Alex Skaletsky, Tevi Devor, Nadav Chachmon, Robert...
Abstract. Software systems nowadays are becoming increasingly complex and vulnerable to all sorts of failures and attacks. There is a rising need for robust self-repairing systems ...
Thomas Meyer, Daniel Schreckling, Christian F. Tsc...
Three self-stabilizing protocols for distributed systems in the shared memory model are presented. The first protocol is a mutual exclusion protocol for tree structured systems. T...
With their increasingly powerful computational resources and high-speed wireless communications, future mobile systems will have the ability to run sophisticated applications on c...