Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
: This paper studies pseudo-random pattern testing of bridging faults. Although bridging faults are generally more random pattern testable than stuck-at faults, examples are shown ...
In this paper, a novel test point insertion methodology is presented for RTL designs that aims to reduce the data volume of scan-based transition delay tests. Test points are iden...