90,847 research outputs found
Language Contact: German and Slovenian. (Achim Rabus)
No full textProf. Dr. Achim Rabus. Rezension zu: REINDL, DONALD F., Language Contact: German and Slovenian. Bochum: Universitätsverlag Dr. Brockmeyer, 2008 (Diversitas linguarum; 20), XII, 233 S. ISBN 978-3-8196-0715-8 Donald F. Reindls Studie "Language Contact: German and Slovenian" untersucht den Einfluss des Deutschen auf die Struktur des Slowenischen. Im Gegensatz zu anderen Studien, die sich auf lexikalische Transferenzen konzentrieren, analysiert Reindl tiefgehend strukturelle Transferenzen auf den Ebenen der Phonologie, Morphologie und Syntax. Er verwendet einen zweifachen methodischen Ansatz, der auf sprachlichen Universalien und Markiertheit sowie Sprachvergleich basiert. Reindl zeigt, dass viele vermeintlich kontaktinduzierte Phänomene intern motiviert sein könnten, während andere, wie das uvulare "r" im Slowenischen, eindeutig auf deutschen Einfluss zurückzuführen sind. Die Studie umfasst auch die Analyse von Flexions- und Derivationsmorphologie, Syntax und semantischen Transferenzen. Reindl betont, dass der deutsch-slowenische Sprachkontakt keine Einbahnstraße ist und auch das Slowenische das Deutsche beeinflusst hat. Abschließend bietet die Studie eine umfassende Tabelle der untersuchten Transferenzen und ordnet diese zeitlich und areal ein. Trotz einiger methodischer und bibliographischer Lücken erweitert die Studie das Verständnis des deutsch-slowenischen Sprachkontakts erheblich
Einleitung
No full textDer vorliegende Band, der die Ergebnisse eines deutsch-italienischen Forschungskolloquiums vom 27. bis 29. September 2012 in der Villa Vigoni dokumentiert, möchte gegen die präsentistischen Reduktionen und Missverständnisse der Ringparabel die literarische Geschichte dieses wirkmächtigen Erzählmodells rekonstruieren und an diesem Leitfaden entlang auch eine Archäologie des europäischen Toleranzgedankens selbst liefern. Erhellt werden zum einen die Transformationen der Parabel von der Antike bis zu Boccaccios Melchisedech-Novelle, um dann zum anderen auf Lessing einzugehen und dessen Rezeption bis in die Moderne zu verfolgen. Wie die Tagung wird auch die vorliegende Dokumentation mit einem Beitrag des Ägyptologen Jan Assmann eröffnet. Ef folgen Beiträge von A.C. Mayer, W.-D. Stempel, V.L. Puccetti, A. Kablitz, L. Möllenbrink, A. Aurnhammer, M. Zanucchi, C. Rivoletti, W. Schröder, G. Cantarutti, F. Vollhardt, F. Tucci und L. Weissberg
Context enhancement through image fusion: A multiresolution approach based on convolution of cauchy distributions
No full textA novel context enhancement technique is presented to automatically combine images of the same scene captured at different times or seasons. A unique characteristic of the algorithm is its ability to extract and maintain the meaningful information in the enhanced image while recovering the surrounding scene information by fusing the background image. The input images are first decomposed into multiresolution representations using the Dual-Tree Complex Wavelet Transform (DT-CWT) with the subband coefficients modelled as Cauchy random variables. Then, the convolution of Cauchy distributions is applied as a probabilistic prior to model the fused coefficients, and the weights used to combine the source images are optimised via Maximum Likelihood (ML) estimation. Finally, the importance map is produced to construct the composite approximation image. Experiments show that this new model significantly improves the reliability of the feature selection and enhances fusion process
Die Ammen-Uhr : aus des Knaben Wunderhorn
No full textin Holzschnitten nach Zeichnungen von Dresdener Künstlern [L. Richter ; Bendemann ; Hübner ; Rietschel ; Reinick. Verf.: Ludwig Achim von Arnim u. Clemens Bretano]Die 10 Ill. entstanden als Zusammenarbeit des Dresdner Künstlerkreises um Ludwig Richter. - Verse aus dem Anhang "Kinderlieder" von "Des Knaben Wunderhorn" gesammelt von Achim von Arnim u. Clemens BrentanoRümann, Arthur: Die illustrierten deutschen Bücher des 19. Jahrhunderts. - 1988Vorlageform des Erscheinungsvermerks: Leipzig, Verlag von Mayer und Wigand. - Rückseite des Vortitelbl.: Druck von F. A. Brockhaus in LeipzigRümann 188
Structural Breaks in Inflation Dynamics within the European Monetary Union
No full textTo assess the effects of the EMU on inflation rate dynamics of its member states, the inflation rate series for 21 European countries are investigated for structural changes. To capture changes in mean, variance, and skewness of inflation rates, a generalized logistic model is adopted and complemented with structural break tests and breakpoint estimation techniques. These reveal considerable differences in the patterns of inflation dynamics and the structural changes therein. Overall, there is a convergence towards a lower mean inflation rate with reduced skewness, but it is accompanied by an increase in variance.inflation rate, structural break, EMU, generalized logistic distribution
Bildungskarrieren ins Baseits - Ungleiche Zugangschancen zu beruflicher Weiterbildung
No full textBaltes K, Hense A. Bildungskarrieren ins Baseits - Ungleiche Zugangschancen zu beruflicher Weiterbildung. In: Achim F, ed. Bildung. Würzburg: Königshausen & Neumann; 2007: 50-70
Near Real-Time Disturbance Detection in Terrestrial Ecosystems Using Satellite Image Time Series: Drought Detection in Somalia
No full textNear real-time monitoring of ecosystem disturbances is critical for addressing impacts on carbon dynamics, biodiversity, and socio-ecological processes. Satellite remote sensing enables cost-effective and accurate monitoring at frequent time steps over large areas. Yet, generic methods to detect disturbances within newly captured satellite images are lacking. We propose a generic time series based disturbance detection approach by modelling stable historical behaviour to enable detection of abnormal changes within newly acquired data. Time series of vegetation greenness provide a measure for terrestrial vegetation productivity over the last decades covering the whole world and contain essential information related land cover dynamics and disturbances. Here, we assess and demonstrate the method by (1) simulating time series of vegetation greenness data from satellite data with different amount of noise, seasonality and disturbances representing a wide range of terrestrial ecosystems, (2) applying it to real satellite greenness image time series between February 2000 and July 2011 covering Somalia to detect drought related vegetation disturbances. First, simulation results illustrate that disturbances are successfully detected in near real-time while being robust for seasonality and noise. Second, major drought related disturbance corresponding with most drought stressed regions in Somalia are detected from mid 2010 onwards and confirm proof-of-concept of the method. The method can be integrated within current operational early warning systems and has the potential to detect a wide variety of disturbances (e.g. deforestation, flood damage, etc.). It can analyse in-situ or satellite data time series of biophysical indicators from local to global scale since it is fast, does not depend on thresholds or definitions and does not require time series gap filling.early warning, real-time monitoring, global change, disturbance, time series, remote sensing, vegetation and climate dynamics
evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R
No full textCommonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. This paper describes the "evtree" package, which implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. Computationally intensive tasks are fully computed in C++ while the "partykit" (Hothorn and Zeileis 2011) package is leveraged for representing the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions. "evtree" is compared to "rpart" (Therneau and Atkinson 1997), the open-source CART implementation, and conditional inference trees ("ctree", Hothorn, Hornik, and Zeileis 2006). The usefulness of "evtree" is illustrated in a textbook customer classification task and a benchmark study of predictive accuracy in which "evtree" achieved at least similar and most of the time better results compared to the recursive algorithms "rpart" and "ctree".machine learning, classification trees, regression trees, evolutionary algorithms, R
The potential of model-based recursive partitioning in the social sciences - Revisiting Ockham's Razor
No full textA variety of new statistical methods from the field of machine learning have the potential to offer new impulses for research in the social, educational and behavioral sciences. In this article we focus on one of these methods: model-based recursive partitioning. This algorithmic approach is reviewed and illustrated by means of instructive examples and an application to the Mincer equation. For readers unfamiliar with algorithmic methods, the explanation starts with the introduction of the predecessor method classification and regression trees.
With respect to the application and interpretation of model-based recursive partitioning, we address the principle of parsimony and illustrate that the model-based recursive partitioning approach can be employed to test whether a postulated model is in accordance with Ockham's Razor or whether relevant covariates have been omitted. Finally, an overview of available statistical software is provided to facilitate the applicability in social science
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