A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination ...
: Testing of a software application serves the accomplishment of two dis tinct objectives: ensuring functionality and end-user acceptance. However, with an increasing desire for mo...
The development of new Field-Programmed, MaskProgrammed and Laser-Programmed Gate Array architectures is hampered by the lack of realistic test circuits that exercise both the arc...
Michael D. Hutton, Jerry P. Grossman, Jonathan Ros...
This paper presents a new approach for on-chip test pattern generation. The set of test patterns generated by a pseudo-random pattern generator (e.g., an LFSR) is transformed into...