Data shift is a phenomenon present in many real-world applications, and while there are
multiple methods attempting to detect shifts, the task of localizing and correcting the features …

For a classification task, we usually select an appropriate classifier via model selection. How
to evaluate whether the chosen classifier is optimal? One can answer this question via …

The sustainable and coordinated development of agriculture directly associated with the
national economy and social development, and the agriculture development is closely …

Nonparametric estimation of information divergence functionals between two probability
densities is an important problem in machine learning. Several estimators exist that …

The approach for estimating and testing based on divergence measures has become, in the
last 30 years, a very popular technique not only in the field of statistics, but also in other …

The discussion paper" Statistical Modeling: the Two Cultures"(Statistical Science, Vol 16,
2001) by the late Leo Breiman sent shockwaves throughout the statistical community and …

The approach for estimating and testing based on divergence measures has become, in the
last 30 years, a very popular technique not only in the field of statistics, but also in other …