Model checking can tell us whether a system is correct; probabilistic model checking can also tell us whether a system is timely and reliable. Moreover, probabilistic model checkin...
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Functional verification of complex designs largely relies on the use of simulation in conjunction high-level verification languages (HVL) and test-bench automation (TBA) tools. In...
—This paper studies a natural formulation of the timing-driven maze routing problem. A multigraph model appropriate for global routing applications is adopted; the model naturall...