Training structured prediction models is time-consuming. However, most existing approaches only use a single machine, thus, the advantage of computing power and the capacity for larger data sets of multiple machines have not been exploited. In this work, we propose an efficient algorithm for distributedly training structured support vector machines based on a distributed block-coordinate descen...

Structured rational matrices such as symmetric, skew-symmetric, Hamiltonian, skew-Hamiltonian, Hermitian, and para-Hermitian arise in many applications. Linearizations of rational...

Intercalation of alkali metals has proved to be an effective approach for the enhancement energy storage performance in layered-2D MoS2.

BACKGROUND Regular student evaluations at the Technical University Munich indicate the necessity for improvement of the clinical examination course. The aim of this study was to examine if targeted measures to restructure and improve a clinical examination course session lead to a higher level of student satisfaction as well as better self-assessment of the acquired techniques of clinical exami...

In this paper we report on the first phase of the speech corpus collection for purposes of the ESPRIT LTR project n. 30268, EuTrans. The corpus is intended to provide training material for speaker independent continuous speech recognition and translation over the telephone line, based on a vocabulary of few thousands words. Due to its application the corpus is structured so to contain speech ma...