Tolerance spaces and algebraic structures with compatible tolerances play an important role in contemporary algebra and their applications. In this contribution we are presenting ...
It is well-known that the discrete Fourier transform (DFT) of a finite length discrete-time signal samples the discrete-time Fourier transform of the same signal at equidistant p...
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
Giorgio Busatto, Gregor Engels, Katharina Mehner, ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...