Convolutional neural networks (CNNs) have been widely utilized to identify hand gestures from surface electromyography (sEMG) signals. However, due the nonstationary characteristics of sEMG, classification accuracy usually degrades significantly in daily living environment involving complex movements. To further improve reliability a classifier, unconfident classifications are expected be ident...

For a fixed time, t, and horizon b, the probability of default (PD) measures that an obligor, has paid his/her credit until time runs into arrears not later t+b. This is one most crucial elements influences risk in credits. Previous works have proposed nonparametric estimators for derived from Beran’s estimator doubly smoothed conditional survival function censored data. They also found asympto...

Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discriminative confidence estimation, making use of termdependent features, has been shown to improve the widely used lattice-based confidence estimation in STD. In this work, we augment the set of these term-dependent featur...

Abstract—The practical efficient approach is suggested for estimation of the seismoacoustic sources energy in C-OTDR monitoring systems. This approach is represents the sequential plan for confidence estimation both the seismoacoustic sources energy, as well the absorption coefficient of the soil. The sequential plan delivers the non-asymptotic guaranteed accuracy of obtained estimates in the f...