This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
This work justifies several quantum gate level fault models and discusses the causal error mechanisms thwarting correct function. A quantum adaptation of the classical test set gen...
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkows...