— Fault injection has become a very classical method to determine the dependability of an integrated system with respect to soft errors. Due to the huge number of possible error ...
This paper proposes an ATPG technique that reduces power dissipation during the test of sequential circuits. The proposed approach exploits some redundancy introduced during the t...
Fulvio Corno, Paolo Prinetto, Maurizio Rebaudengo,...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...