EcoSta 2018: Registration
View Submission - EcoSta2018
Title: Robustness and stability of kernel based learning Authors:  Andreas Christmann - University of Bayreuth (Germany) [presenting]
Abstract: Statistical machine learning and methods for big data are very important topics in current research. The fourth dimension of big data is often called veracity, i.e. handling data in doubt. This concept is similar to the notion of statistical robustness. Certain questions of universal consistency, statistical robustness, and stability will be addressed.