3,821 research outputs found
La escenificación de una memoria transnacional y multidireccional en Gurs: una tragedia europea (2004), de Jorge Semprún
No full textEste ensayo ofrece un análisis de la dimensión transnacional de Gurs: una tragedia europea (2004), de Jorge Semprún; aspecto que radica en las peculiaridades del montaje y del proyecto creativo, en su temática, en su carácter políglota, y, muy especialmente, en la puesta en escena de un patrimonio cultural inmaterial –canciones, sonidos, imágenes y mitos de diferentes comunidades, culturas y tiempos históricos– que dialogan entre sí ilustrando lo que Michael Rothberg definió como “memoria multidireccional”
Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs
No full textThis is an electronic version of the paper presented at the 18th European Symposium on Artificial Neural Networks, held in Bruges on 2010Least Squares Support Vector Machines (LS-SVMs) were
proposed by replacing the inequality constraints inherent to L1-SVMs with
equality constraints. So far this idea has only been suggested for a least
squares (L2) loss. We describe how this can also be done for the sumof-slacks
(L1) loss, yielding a new classifier (Least 1-Norm SVMs) which
gives similar models in terms of complexity and accuracy and that may
also be more robust than LS-SVMs with respect to outliers.With partial support of Spain’s TIN 2007–66862 project and Cátedra IIC en Modelado y
Predicción. The first author is kindly supported by FPU-MICINN grant reference AP2007–
00142
Author Attributions in Medieval Text Collections: An Exploration
No full textThis article examines the role and function of author attributions in multi-text manuscripts containing Dutch, English, French or German short verse narratives. The findings represent one strand of the investigations undertaken by the cross-European project ‘The Dynamics of the Medieval Manuscript’, which analysed the dissemination of short verse narratives and the principles of organisation underlying the compilation of text collections. Whilst short verse narratives are more commonly disseminated anonymously, there are manuscripts in which authorship is repeatedly attributed to a text or corpus. Through six case studies, this article explores medieval concepts of authorship and how they relate to constructions of authority, whether regarding an empirical figure or a literary construction. In addition, it looks at how authorship plays a role in manuscript compilation, and at the effects of attributions (by author and/or compiler) on reception. The case studies include manuscripts from the thirteenth to fifteenth centuries, produced in a range of social and cultural contexts, and featuring some of the most important European authors of short verse narratives: Rutebeuf, Baudouin de Condé, Der Striker, Konrad von Würzberg, Willem of Hildegaersberch, and Geoffrey Chaucer. The preliminary findings contribute to our understanding of author attributions in text collections from across northern Europe and point towards future lines of enquiry into the role of authorship in medieval textual dissemination
Sparse LS-SVMs with L0-norm minimization
No full textThis is an electronic version of the paper presented at the 19th European Symposium on Artificial Neural Networks, held in Bruges on 2011Least-Squares Support Vector Machines (LS-SVMs) have
been successfully applied in many classification and regression tasks. Their
main drawback is the lack of sparseness of the final models. Thus, a
procedure to sparsify LS-SVMs is a frequent desideratum. In this paper,
we adapt to the LS-SVM case a recent work for sparsifying classical SVM
classifiers, which is based on an iterative approximation to the L0-norm.
Experiments on real-world classification and regression datasets illustrate
that this adaptation achieves very sparse models, without significant loss
of accuracy compared to standard LS-SVMs or SVMs
Batch Bayesian Learning of Large-Scale LS-SVMs Based on Low-rank Tensor Networks
No full textLeast Squares Support Vector Machines (LS-SVMs) are state-of-the-art learning algorithms that have been widely used for pattern recognition. The solution for an LS-SVM is found by solving a system of linear equations, which involves the computational complexity of O(N^3). When datasets get larger, solving LS-SVM problems with standard methods becomes burdensome or even unfeasible. The Tensor Train (TT) decomposition provides an approach to representing data in highly compressed formats without loss of accuracy. By converting vectors and matrices in the TT format, the storage and computational requirements can be greatly reduced. In this thesis, we develop a Bayesian learning method in the TT format to solve large-scale LS-SVM problems, which involves the computation of a matrix inverse. This method allows us to include the information we know about the model parameters in the prior distribution. As a result, we are able to obtain a probability distribution of the parameters, which enables us to construct confidence levels of the predictions. In the numerical experiment, we show that the developed method performs competitively with the current methods.Mechanical Engineering | Systems and Contro
Additive Manufacturing: Polymers Applicable for Laser Sintering (LS)
No full textAbstractAdditive Manufacturing (AM) is close to become a production technique changing the way of part fabrication in future. Enhanced complexity and personalized features are aimed. The expectations in AM for the future are enormous and betimes it is considered as kind of the next industrial revolution. Laser Sintering (LS) of polymer powders is one component of the AM production techniques. However materials successfully applicable to Laser Sintering (LS) are very limited today. The presentation picks up this topic and gives a short introduction on the material available today. Important factors of polymer powders, their significance for effective LS processing and analytical approaches to access those values are presented in the main part. Concurrently the exceptional position of polyamide 12 powders is this connection is outlined
The Social Cost-of-Living: Welfare Foundations and Estimation
No full textWe present a new class of social cost-of-living indices and a nonparametric framework for estimating these and other social cost-of- living indices. Common social cost-of-living indices can be understood as aggregator functions of approximations of individual cost-of-living indices. The Consumer Price Index (CPI) is the expenditure-weighted average of first-order approximations of each individual’s cost-of-living index. This is troubling for three reasons. First, it has not been shown to have a welfare economic foundation for the case where agents are heterogeneous (as they clearly are.) Second, it uses an expenditure-weighted average which downweights the experience of poor households relative to rich households. Finally, it uses only first-order approximations of each individual’s cost-of-living index, and thus ignores substitution effects. We propose a “common-scaling” social cost-of-living index, which is defined as the single scaling to everyone’s expenditure which holds social welfare constant across a price change. Our approach has an explicit social welfare foundation and allows us to choose the weights on the costs of rich and poor households. We also give a unique solution for the welfare function for the case where the weights are independent of household expenditure. A first order approximation of our social cost-of- living index nests as special cases commonly used indices such as the CPI. We also provide a nonparametric method for estimating second- order approximations (which account for substitution effects).Inflation, Social cost-of-living, Demand, Average Derivatives
The Social Cost-of-Living: Welfare Foundations and Estimation
No full textWe present a new class of social cost-of-living indices and a nonparametric framework for estimating these and other social cost-of-living indices. Common social cost-of-living indices can be understood as aggregator functions of approximations of individual cost-of-living indices. The Consumer Price Index (CPI) is the expenditure-weighted average of first-order approximations of each individual’s cost-of-living index. This is troubling for three reasons. First, it has not been shown to have a welfare economic foundation for the case where agents are heterogeneous (as they clearly are.) Second, it uses an expenditure-weighted average which downweights the experience of poor households relative to rich households. Finally, it uses only first-order approximations of each individual’s cost-of-living index, and thus ignores substitution effects. We propose a “common-scaling” social cost-of-living index, which is defined as the single scaling to everyone’s expenditure which holds social welfare constant across a price change. Our approach has an explicit social welfare foundation and allows us to choose the weights on the costs of rich and poor households. We also give a unique solution for the welfare function for the case where the weights are independent of household expenditure. A first order approximation of our social cost-of-living index nests as special cases commonly used indices such as the CPI. We also provide a nonparametric method for estimating second-order approximations (which account for substitution effects).Inflation, Social cost-of-living, Demand, Average derivatives
Tell us our story: Understanding 'religion and violence' in multiple contexts of learning
No full textThis article raises the question about how definitions of religion and violence can be understood as links to the context in which they are formulated. The focus is on the context of academic learning. Understanding a definition as a micro-narrative that reflects the cultural 'archive', the author uses two academic contexts (i.e. Utrecht, The Netherlands and Jakarta, Indonesia) to show how religion and violence are differently understood. These differences are taken as significant information for understanding how the topic of 'religion and violence' is related to cultural understandings of the place of religion in society. The question is raised how 'narrative learning' can help as a strategy to raise awareness about the preconditioning of (academic) definitions of 'religion and violence'
AUTOMATIC CORRECTION OF BAND BROADENING IN SEC / (DR+LS) OF NARROW HOMOPOLYMERS: THEORY AND EXPERIMENTAL VALIDATION (RAW DATA)
No full textChromatographic measurements obtained by injecting polystyrene and polymethyl-methacrylate standards into a size exclusion chromatography equipment made up of a series of fractionation columns, a DR detector, and a multi-angle LS detector
- …
