The Power of Linear Recurrent Neural Networks

Recurrent neural networks are a powerful means to cope with time series. We show how a type of linearly activated recurrent neural networks, which we call predictive neural networks, can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed. Furthermore, the network size can be reduced by taking only most relevant components. Thus, in contrast to others, our approach not only learns network weights but also the network architecture. The networks have interesting properties: They end up in ellipse trajectories in the long run and allow the prediction of further values and compact representations of functions. We demonstrate this by several experiments, among them multiple superimposed oscillators (MSO), robotic soccer, and predicting stock prices. Predictive neural networks outperform the previous state-of-the-art for the MSO task with a minimal number of units.Comment: 22 pages, 14 figures and tables, revised implementatio

Income inequality and the welfare state: How redistributive is the public sector?

This paper explores the nexus between the phenomenon of increasing income inequality and redistributive effects of the public sector. In an empirical analysis of seven OECD countries the redistributive effect will be examined by measuring the difference between inequality of market incomes and disposable incomes. Moreover, this paper will try to estimate the redistributive effect of public goods. The period of investigation is between the mid 1980s and the mid 2000s. The paper suggests that the public sector still reduces market income inequality significantly but to a lower extent than in the previous decades and with greater variation across different welfare regimes. Public goods further reduce income inequality considerably. However, the estimation and allocation process of these in-kind benefits involves several methodological issues that need to be taken into account when evaluating the empirical results. Furthermore, the empirical analysis indicates that market forces drove greater income inequality until the mid 1990s, and structural changes in tax and transfer systems reinforced this trend from the mid 1990s onwards

Ich weiß nicht was soll es bedeuten ...

Im Folgenden werden wir drei Wirkungskomplexe beschrieben, in denen die Codierung Veränderungen bewirken kann, wobei es sich - das soll hier nicht verschwiegen werden - um idealtypische Situationsannahmen handelt: Es geht um die Folgen erstens für den Originaltext (das Gedicht), zweitens für das Verstehen (sowohl bei der Codierung als auch bei der Rezeption) und drittens schließlich um mögliche Auswirkungen auf die Wissenschaft. Die Neuerungen für die AutorInnen im Umgang mit digitalen Medien findet keine Berücksichtigung, da jegliche im Projekt behandelten Quellentexte vor der Zeit des digitalen Mediums produziert wurden

Two- and three-dimensional mid-infrared chemical imaging

This article describes the state-of-the-art in 2D and 3D tomographic mid-IR imaging and its current and potential applications in the imaging of material and biological systems with a focus on cells and tissues. 2D FTIR microscopy is first presented in terms of the basic experimental configurations of the technique, optics, data and image acquisition. This first section provides a basis for the ensuing discussion on 3D FTIR spectro-microtomography. In the second part, examples of 2D and 3D chemical imaging are given with a focus on the use of molecular chemical probes and probe-free applications, respectively

Managing driver fatigue: education or motivation?

Fatigue has been recognised as the primary contributing factor in approximately 15% of all fatal road crashes in Australia. To develop effective countermeasures for managing fatigue, this study investigates why drivers continue to drive when sleepy, and driver perceptions and behaviours in regards to countermeasures. Based on responses from 305 Australian drivers, it was identified that the major reasons why these participants continued to drive when sleepy were: wanting to get to their destination; being close to home; and time factors. Participants’ perceptions and use of 18 fatigue countermeasures were investigated. It was found that participants perceived the safest strategies, including stopping and sleeping, swapping drivers and stopping for a quick nap, to be the most effective countermeasures. However, it appeared that their knowledge of safe countermeasures did not translate into their use of these strategies. For example, although the drivers perceived stopping for a quick nap to be an effective countermeasure, they reported more frequent use of less safe methods such as stopping to eat or drink and winding down the window. This finding suggests that, while practitioners should continue educating drivers, they may need a greater focus on motivating drivers to implement safe fatigue countermeasures