Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
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...
A fuzzy random variable is viewed as the imprecise observation of the outcomes in a random experiment. Since randomness and vagueness coexist in the same framework, it seems reaso...
Despite the advancements of concurrency theory in the past decades, practical concurrent programming has remained a challenging activity. Fundamental problems such as data races an...
The unfold/fold framework constitutes the spine of many program transformation strategies. However, by unrestricted use of folding the target program may terminate less often than...