In active learning, acquisition functions define informativeness directly on the representation position within model manifold. However, for most machine learning models (in particular neural networks) this is not fixed due to training pool fluctuations in between rounds. Therefore, several popular strategies are sensitive experiment parameters (e.g. architecture) and do consider robustness out...

Tree-child networks, one of the prominent network classes in phylogenetics, have been introduced for purpose modeling reticulate evolution. Recently, first author together with Gittenberger and Mansouri (2019) showed that number TCℓ,k tree-child networks ℓ leaves k reticulation vertices has first-order asymptotics TCℓ,k∼ck2eℓℓℓ+2k−1,(ℓ→∞).Moreover, they also computed ck k=1,2, 3. In this short ...

The aim of this collaborative research is to show the potential for developing interactive strategies music analysis. This article demonstrates how wide range multimedia outputs Bayley’s into processes composition, rehearsal and performance Michael Finnissy’s Second String Quartet (2006/2007) can be accommodated by extending Clarke’s “interactive aural” approach, using Cycling 74’s Max/MSP soft...

This paper presents a systematic approach to design a Lyapunov based super twisting differentiator. The differentiator will be shown convergent in a finite time whilst the relevant time is accurately estimated.  This differentiator is the main part to establish the sliding surface in higher order sliding mode. The differentiator  is used in the prescribed control structure  to regulate pressure...