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Comparison of standard resampling methods for performance estimation of artificial neural network ensembles

Estimation of the generalization performance for classification within the medical applications domain is always an important task. In this study we focus on artificial neural network ensembles as the machine learning technique. We present a numerical comparison between five common resampling techniques: k-fold cross validation (CV), holdout, using three cutoffs, and bootstrap using five different

Hearing Christ Proclaimed: Mapping the Aural Features of John 1:19–51

In the ancient world, writings were routinely delivered orally by trained lectors. An important task for the lector was to give voice to the silent, close-knit lines of scriptio continua manuscripts. This was made possible by the fact that the oral structure and aural character were encoded into the text. This paper analyzes the sound structure of John 1:19–51 and identifies what aural features w

Fault Behaviour of Wind Farms with Fixed-Speed and Doubly-Fed Induction Generators

Abstract in UndeterminedThis paper focuses on the fault current contribution of wind farms with Fixed-Speed (FSIG) and Doubly-Fed Induction Generators (DFIG). The fault current delivered by a single FSIG during both symmetrical and unsymmetrical faults is found analytically and validated through simulations. Simulations of a detailed model of a wind farm with several FSIG or DFIG are then performe