Marenglen biba (28 Ergebnisse)

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Taschenbuch. Zustand: Neu. Integrating Logic and Statistics | Novel Algorithms in Markov Logic Networks | Marenglen Biba | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639122824 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 this book useful for their research, academic, development and practice activity.…

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Taschenbuch. Zustand: Neu. Learning Structure and Schemas from Documents | Marenglen Biba (u. a.) | Taschenbuch | Studies in Computational Intelligence | xviii | Englisch | 2016 | Springer | EAN 9783662506714 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Integrating logic and probability has a long story inArtificial Intelligence and Machine Learning. Thisbook attempts the challenge of exploring anddeveloping high performing algorithms for astate-of-the-art model that integrates first-orderlogic and probability. However, much remains to bedone until AI systems will reach human intelligence.A powerful language to achieve this is Markov Logicwhich embodies the experience and successes ofvarious subfields of AI and Statistics. It allows toexpress complexity and uncertainty, just as humanswould do in complex environments. Moreover, complexmodels that reflect real-world phenomena can belearned efficiently from examples and powerfulinference algorithms can be used to answer queriesabout the world. This book makes an effort towardsbuilding powerful algorithms for these two tasks.Thus it is hoped that it will constitute another stepforward in our attempt to better understand and buildintelligent systems.…

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Biba MarenglenMarenglen Biba is completing his Ph.D in Computer Science at thenUniversity of Bari, Italy. He received his M.S. in ComputernScience (summa cum laude) from the same university in 2004. Hisnmain research areas are Artifi.…

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Paperback. Zustand: Brand New. 144 pages. 8.50x5.91x0.55 inches. In Stock. This item is printed on demand.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 this book useful for their research, academic, development and practice activity. 460 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Experts in the FieldThe rapidly gr.…

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Experts in the FieldThe rapidly gr.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 this book useful for their research, academic, development and practice activity.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch.…

Zustand: New. Print on Demand pp. 459.

Zustand: New. PRINT ON DEMAND pp. 459.