We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Model checking is a promising technique for verifying program behavior and is increasingly finding usage in industry. To date, however, researchers have primarily considered mode...
models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...
AlPiNA is a symbolic model checker for High Level Petri nets. It is comprised of two independent modules: a GUI plugin for Eclipse and an underlying model checking engine. AlPiNA...
Didier Buchs, Steve Hostettler, Alexis Marechal, M...
This paper is placed in the context of large scale distributed programming, providing a programming model based on asynchronous components. It focuses on the semantics of asynchron...