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Titlebook: Learning Structure and Schemas from Documents; Marenglen Biba,Fatos Xhafa Book 2011 Springer-Verlag GmbH Berlin Heidelberg 2011 Computatio

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發(fā)表于 2025-3-21 17:09:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Learning Structure and Schemas from Documents
編輯Marenglen Biba,Fatos Xhafa
視頻videohttp://file.papertrans.cn/583/582794/582794.mp4
概述Presents State-Of-The-Art Methods for Structure Learning and Schema.Inference Case Studies and Best Practices from Real Large Scale Digital Libraries, Repositories and Corpora.Written by Leading Exper
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Learning Structure and Schemas from Documents;  Marenglen Biba,Fatos Xhafa Book 2011 Springer-Verlag GmbH Berlin Heidelberg 2011 Computatio
描述.The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data..?.This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. ?The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field..?.Researcher, software developers, practitioners and students interested in the field of .learning structure and schemas from documents .will find the comprehensive coverage of thi
出版日期Book 2011
關(guān)鍵詞Computational Intelligence; Computational Intelligence; Computational Intelligence; Document Analysis a
版次1
doihttps://doi.org/10.1007/978-3-642-22913-8
isbn_softcover978-3-662-50671-4
isbn_ebook978-3-642-22913-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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978-3-662-50671-4Springer-Verlag GmbH Berlin Heidelberg 2011
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Learning Structure and Schemas from Documents978-3-642-22913-8Series ISSN 1860-949X Series E-ISSN 1860-9503
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Vavilis Sokratis,Ergina Kavallieratou,Roberto Paredes,Kostas Sotiropouloshe created object instances and provides the results about the macro behavior of the simulated model. In this chapter we compare the results of the SD model, run by a standard SD software, with the same model simulated through discrete evens. The idea of the presented experimental software is to use
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Simone Marinai,Beatrice Miotti,Giovanni Sodahe created object instances and provides the results about the macro behavior of the simulated model. In this chapter we compare the results of the SD model, run by a standard SD software, with the same model simulated through discrete evens. The idea of the presented experimental software is to use
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Eric Draken,Tamer N. Jarada,Keivan Kianmehr,Reda Alhajjof freedom as the cubic zone (.) of the lattice . This determines the spherical Brillouin zone’s radius to be . Expanding the Hamiltonian in (13.2) in terms of gradients of . and keeping up to quadratic terms, the relation . is established at low temperatures (. << 1). The factor .. is the Boltzmann
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Angela Locoro,Daniele Grignani,Viviana Mascardiof freedom as the cubic zone (.) of the lattice . This determines the spherical Brillouin zone’s radius to be . Expanding the Hamiltonian in (13.2) in terms of gradients of . and keeping up to quadratic terms, the relation . is established at low temperatures (. << 1). The factor .. is the Boltzmann
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