The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...
high-level programming abstractions, capable of simplifying the programming chore without sacrificing efficiency, has been long recognized and several solutions have been hitherto...
Some systems interact with their environment at physically distributed interfaces, called ports, and in testing such a system it is normal to place a tester at each port. Each test...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...