We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Abstract. Many theorems about Kolmogorov complexity rely on existence of combinatorial objects with specific properties. Usually the probabilistic method gives such objects with b...
In this article we evaluate an epidemic algorithm for the synchronization of coupled Kuramoto oscillators in complex Peer-to-Peer topologies. The algorithm requires a periodic coup...
Ingo Scholtes, Jean Botev, Markus Esch, Peter Stur...
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
—In this paper, low complexity acquisition of UWB telemetry data packets is addressed. In addition to the usual channel impairments considered of additive white Gaussian noise (A...