Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
Abstract—A simple and effective composition of software services into higher-level composite services is still a very challenging task. Especially in enterprise environments, Qua...
Florian Rosenberg, Predrag Celikovic, Anton Michlm...
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Recently, platform FPGAs that integrate sequential processors with a spatial fabric have become prevalent. While these hybrid architectures ease the burden of integrating sequenti...
One of today’s challenges is producing reliable software in the face of an increasing number of interacting components. Our system CHET lets developers define specifications des...