86,874 research outputs found

    Vom Umgang mit kolonialen Straßennamen und postkolonialer Erinnerungskultur

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    Lemme S. Vom Umgang mit kolonialen Straßennamen und postkolonialer Erinnerungskultur. In: Brahm F, Brockmeyer B, eds. Koloniale Spurensuche in Bielefeld und Umgebung. Bielefeld: TPK-Verlag; 2014: 108-119

    Central government financial information and user-orientation on the Internet in Italy and the USA

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    The advent and the diffusion of the Information and Communication Technologies (ICT) have dramatically changed the way Governments convey financial information to a wide range of stakeholders. Nowadays, the Internet in particular is universally deemed a powerful tool Governments and citizens have at their disposal to prove their accountability and to assess it. Nevertheless, whenever the every-day citizen finds some difficulties in understanding such sort of language smartly named “accounting-ese”- which is, by contrast, commonly and successfully used in professional, institutional and academic communication - specific contents of the information conveyed may be sometimes lost and, as a result, the underlying communication process adversely affected. With an eye towards such a perspective, the aim of the present paper is to test the effective role of the Internet technology in fulfilling the citizens’ information needs. Emphasis will be put on the user-orientation paradigm, specifically analysed with reference to two different governmental environments: the American one, which politically shows an old and strong federal tradition, and the Italian one, which is presently moving its first steps towards such a direction. The paper, which is part of an ongoing research project, will pragmatically focus on a content-analysis-based comparison. The study will be conducted on a purpose-built corpus encompassing a large variety of American and Italian official financial documents available on the two most significant “governmental” websites: the General Accounting Office (www.gao/gov) and the “Dipartimento della Ragioneria Generale dello Stato – National General Accounting Department”(www.rgs.mef.gov.it), respectively. Although the paradigm of the so-called user-orientation ranks as a key-concept in the American accounting realm, it does not seem to have reached a comparable standard in Italy, where financial statements and official documents have been witnessing both resistant formalism and sharp bureaucratic attitudes, despite the Italian progressive shift from cash to accrual basis of accounting

    Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories

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    Lemme A, Reinhart F, Steil JJ. Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories. Presented at the IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS, Madrid

    Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders

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    Lemme A, Reinhart F, Steil JJ. Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks. 2012;33:194-203

    Rare neural correlations implement robotic conditioning with reward delays and disturbances

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    Soltoggio A, Lemme A, Reinhart F, Steil JJ. Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 2013;7:6.Neural conditioning associates cues and actions with following rewards. The environments in which robots operate, however, are pervaded by a variety of disturbing stimuli and uncertain timing. In particular, variable reward delays make it difficult to reconstruct which previous actions are responsible for following rewards. Such an uncertainty is handled by biological neural networks, but represents a challenge for computational models, suggesting the lack of a satisfactory theory for robotic neural conditioning. The present study demonstrates the use of rare neural correlations in making correct associations between rewards and previous cues or actions. Rare correlations are functional in selecting sparse synapses to be eligible for later weight updates if a reward occurs. The repetition of this process singles out the associating and reward-triggering pathways, and thereby copes with distal rewards. The neural network displays macro-level classical and operant conditioning, which is demonstrated in an interactive real-life human-robot interaction. The proposed mechanism models realistic conditioning in humans and animals and implements similar behaviors in neuro-robotic platforms

    Efficient online learning of a non-negative sparse autoencoder

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    Lemme A, Reinhart F, Steil JJ. Efficient online learning of a non-negative sparse autoencoder. In: European Symposium Artificial Neural Networks. Bruges: d-facto; 2010: 1-6

    Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching

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    Reinhart F, Lemme A, Steil JJ. Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. In: IEEE-RAS International Conference on Humanoid Robots. 2012: 560-567
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