Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
We study convergence properties of empirical minimization of a stochastic strongly convex objective, where the stochastic component is linear. We show that the value attained by t...
Peace is an extremely important value for humankind, yet it has been largely ignored by the computing and human-computer interaction community. This paper seeks to begin a discuss...
We present the first empirical study of fast-flux service networks (FFSNs), a newly emerging and still not widelyknown phenomenon in the Internet. FFSNs employ DNS to establish ...
Thorsten Holz, Christian Gorecki, Konrad Rieck, Fe...