This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Collection attributes, as defined by Boyland, can be used as a mechanism for concisely specifying cross-referencelike properties such as callee sets, subclass sets, and sets of v...
Abstract. This paper addresses the problem of recovering variable-like entities when analyzing executables in the absence of debugging information. We show that variable-like entit...