We consider adaptive fault diagnosis for array multiprocessor systems. We show that three testing rounds are necessary and sufficient for adaptive parallel diagnosis of an Nproce...
Abstract. Feature selection researchers often encounter a peaking phenomenon: a feature subset can be found that is smaller but still enables building a more accurate classifier th...
This paper describes an algorithm developed as a decision support system for SMT line operators and its purpose is to suggest changes in an existing feeder setup in order to impro...
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
We discuss testing methods for exposing origin-seeking bias in PSO motion algorithms. The strategy of resizing the initialization space, proposed by Gehlhaar and Fogel and made po...