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Condition: New.
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Optical and Wireless Technologies. Proceedings of OWT 2020.
Published by Singapore, Springer Singapore : Imprint: Springer., 2022
ISBN 10: 9811628173 ISBN 13: 9789811628177
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
First Edition
1st ed. 2022. XXXI, 593 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes in Electrical Engineering, 771. Sprache: Englisch.
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Academic Press Pub Date: 2/16/2023 Binding: Hardcover Pages: 399 First edition.
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Condition: As New. Unread book in perfect condition.
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Paperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.12
US$ 15.81 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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paperback. Condition: New.
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 420.
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Graph Learning and Network Science for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.19
US$ 19.79 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Brand New. 272 pages. 9.00x6.00x9.00 inches. In Stock.
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Graph Learning and Network Science for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 72.91
US$ 19.79 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Paperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: Brand New. 272 pages. 9.00x6.00x9.00 inches. In Stock.
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Condition: NEW.
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Paperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Muskan Garg is a postdoctoral research associate at the University of Florida, USA, whose research focuses on the problems of natural language processing (NLP), information retrieval, and social media analysis. She received her Masters a.
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Condition: New.
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Graph Learning and Network Science for Natural Language Processing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Paperback. Condition: New. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.
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Taschenbuch. Condition: Neu. Graph Learning and Network Science for Natural Language Processing | Muskan Garg (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032224572 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: As New. Unread book in perfect condition.
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Graph Learning and Network Science for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
