In this paper an algorithm based on the ensemble empirical mode decomposition (EEMD) is presented. The key idea on the EEMD relies on averaging the modes obtained by EMD applied t...
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
— Multiple power supply voltages are often used in modern high performance ICs such as microprocessors to decrease power consumption without affecting circuit speed. The system o...
When testing delay faults on critical paths, conventional structural test patterns may be applied in functionally-unreachable states, leading to over-testing or under-testing of t...