Search (358 results, page 1 of 18)

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Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

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Abstract

This is an edited collection of 39 original papers and as many commentaries and replies. The target papers and replies were written by senior members of the MIND Group, while all commentaries were written by junior group members. All papers and commentaries have undergone a rigorous process of anonymous peer review, during which the junior members of the MIND Group acted as reviewers. The final versions of all the target articles, commentaries and replies have undergone additional editorial review. Besides offering a cross-section of ongoing, cutting-edge research in philosophy and cognitive science, this collection is also intended to be a free electronic resource for teaching. It therefore also contains a selection of online supporting materials, pointers to video and audio files and to additional free material supplied by the 92 authors represented in this volume. We will add more multimedia material, a searchable literature database, and tools to work with the online version in the future. All contributions to this collection are strictly open access. They can be downloaded, printed, and reproduced by anyone.

Date

27. 1.2015 11:48:22

Editor

Metzinger, T. u.. J.M. Windt

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Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

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Abstract

Authors describe the background and the work involved in setting up Engine-e, a Web index that uses automatic classification as a mean for the selection of resources in Engineering. Considerations in offering a robot-generated Web index as a successor to a manually indexed quality-controlled subject gateway are also discussed

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Date

12. 2.2011 17:35:22

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Content

Vgl. auch: Dörner, S.:"CDU-Zerstörer" Rezo: Es kamen "Diskreditierung, Lügen, Trump-Wordings und keine inhaltliche Auseinandersetzung" [22. Mai 2019]. Interview mit Rezo. Unter: https://www.heise.de/tp/features/CDU-Zerstoerer-Rezo-Es-kamen-Diskreditierung-Luegen-Trump-Wordings-und-keine-inhaltliche-4428522.html?view=print [http://www.heise.de/-4428522].

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Date

22. 5.2021 12:43:05

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Abstract

This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

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Abstract

Hypermedia and multimedia have been placed rather uncritically at the centre of current developments in learning technology. This paper seeks to ask some fundamental questions about how learning is best supported by hypermedia, and concludes that the most successful aspects are not those normally emphasized. A striking observation is that the best learning experience is enjoyed by hypermedia courseware authors rather that students. This is understandable from a constructivist view of learning, in which the key aim is to engage the learner in carrying out a task which leads to better comprehension. Deep learning is a by-product of comprehension. The paper discusses some approaches to designing software - cognitive tools for learning - which illustrate the constructivist approach

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Abstract

PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.

Date

16. 1.2016 10:22:28

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Date

3.12.2016 18:39:22

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Date

17. 5.2016 19:22:40

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Abstract

PhysNet offers online services that enable a physicist to keep in touch with the worldwide physics community and to receive all information he or she may need. In addition to being of great value to physicists, these services are practical examples of the use of modern methods of digital libraries, in particular the use of metadata harvesting. One service is PhysDoc. This consists of a Harvest-based online information broker- and gatherer-network, which harvests information from the local web-servers of professional physics institutions worldwide (mostly in Europe and USA so far). PhysDoc focuses on scientific information posted by the individual scientist at his local server, such as documents, publications, reports, publication lists, and lists of links to documents. All rights are reserved for the authors who are responsible for the content and quality of their documents. PhysDis is an analogous service but specifically for university theses, with their dual requirements of examination work and publication. The strategy is to select high quality sites containing metadata. We report here on the present status of PhysNet, our experience in operating it, and the development of its usage. To continuously involve authors, research groups, and national societies is considered crucial for a future stable service.

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Source

https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H

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Abstract

Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively. We'll walk through a series of simple examples to illustrate what t-SNE diagrams can and cannot show. The t-SNE technique really is useful-but only if you know how to interpret it.

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Abstract

The paper investigates the acceleration of t-SNE-an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots-using two tree-based algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O(N*logN). Our experiments show that the resulting algorithms substantially accelerate t-SNE, and that they make it possible to learn embeddings of data sets with millions of objects. Somewhat counterintuitively, the Barnes-Hut variant of t-SNE appears to outperform the dual-tree variant.

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Date

26.12.2011 14:01:22

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Content

Teil eines Sonderheftes: Selected papers from the Dublin Core 2001 Conference. Ed. T. Koch

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Content

Teil eines Sonderheftes: Selected papers from the Dublin Core 2001 Conference. Ed. T. Koch

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Content

Vgl.: Barth, T.: Digitalisierung und Lobby: Transhumanismus I. [12. Januar 2020]. Unter: https://www.heise.de/tp/features/Digitalisierung-und-Lobby-Transhumanismus-I-4633314.html?view=print.