Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
The European network for Integrated Circuit testing education described in this paper addresses the shortage of skill in mixed-signal production testing by encouraging students...
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Interoperability testing is an inherently distributed task. It connects different implementations together and determines if they interact according to their specifications, prov...
Ariel Sabiguero, Anthony Baire, Antoine Boutet, C&...
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...