ive probabilistic networks are qualitative abstractions of probabilistic networks, summarising probabilistic influences by qualitative signs. As qualitative networks model influen...
Silja Renooij, Simon Parsons, Linda C. van der Gaa...
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
Johan Kwisthout, Hans L. Bodlaender, Linda C. van ...
Adaptive systems are set to become more mainstream, as numerous practical applications in the communications domain emerge. FPGAs offer an ideal implementation platform, combining...
Suhaib A. Fahmy, Jorg Lotze, Juanjo Noguera, Linda...
el Sequential Memory Abstraction for Model Checking Per Bjesse Advanced Technology Group Synopsys Inc. Many designs intermingle large memories with wide data paths and nontrivial c...
Craniosynostosis is a congenital disease which consists of premature fusion of one or more cranial sutures, resulting in an abnormal head shape. Patients are usually treated by cr...
Chia-Chi Teng, Linda G. Shapiro, Richard A. Hopper...