Friedman’s super smoother is a nonparametric regression estimator based on local linear regression with adaptive bandwidths (Friedman [1984]). The basic idea is to first estimate a number of fixed bandwidth smooths by local linear regression. The leave-one-out cross-validated residuals from each of those initial estimates are then smoothed using a constant bandwidth. Based on the smoothed resid...

Recent studies suggest that the minimum error entropy (MEE) criterion can outperform the traditional mean square error criterion in supervised machine learning, especially in nonlinear and non-Gaussian situations. In practice, however, one has to estimate the error entropy from the samples since in general the analytical evaluation of error entropy is not possible. By the Parzen windowing appro...

In this note we present inequalities relating the successive minima of a o-symmetric convex body and the successive inner and outer radii of the body. These inequalities build a bridge between known inequalities involving only either the successive minima or the successive radii.

Monitoring the phenological development of agricultural plants is high importance for farmers to adapt their management strategies and estimate yields. The aim this study analyze sensitivity remote sensing features winter wheat barley test transferability in two sites Northeast Germany years. Local minima, local maxima breakpoints smoothed time series synthetic aperture radar (SAR) data Sentine...

We numerically study the long-term evolution of the accretion disc around the neutron star in a coplanar Be/X-ray binary with a short period and a moderate eccentricity. From three dimensional Smoothed Particle Hydrodynamics simulations, we find that the disc evolves through three distinct phases, each characterized by different mass accretion patterns. In the first ”developing phase”, the disc...