Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Abstract-- Due to the development of Next Generation Networks, leading to a multiservice transport layer with a multidomain environment, the importance of interconnection issues ke...
Abstract. CirCUs is a satisfiability solver that works on a combination of AndInverter-Graph, CNF clauses, and BDDs. It has been designed to work well with bounded model checking. ...
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...