Edité par Springer (edition 2nd ed. 2023), 2023
ISBN 10 : 9819915996 ISBN 13 : 9789819915996
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 22,98
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Ajouter au panierHardcover. Etat : New. 2nd ed. 2023. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 28,72
Quantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : Very Good.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 28,72
Quantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : Good. Book is bent.
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
EUR 35,49
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Vendeur : Bookmonger.Ltd, HILLSIDE, NJ, Etats-Unis
EUR 31,95
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Ajouter au panierpaperback. Etat : Very Good. Crease on cover and a few pages*.
EUR 34,90
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Springer (edition 1st ed. 2020), 2020
ISBN 10 : 9811555729 ISBN 13 : 9789811555725
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 39,39
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Very Good. 1st ed. 2020. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
EUR 39,67
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Ajouter au panierEtat : New.
Edité par Springer International Publishing AG, CH, 2020
ISBN 10 : 3031004590 ISBN 13 : 9783031004599
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 42,03
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool.This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 34,03
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Ajouter au panierEtat : New. In English.
Edité par Springer Verlag, Singapore, Singapore, 2023
ISBN 10 : 981991602X ISBN 13 : 9789819916023
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 49,04
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, socialnetwork analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book. (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 31,04
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 49,49
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 48,30
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 49,62
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 33,93
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 55,08
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Ajouter au panierEtat : New.
EUR 38
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 54,49
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 54,49
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 53,30
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 53,30
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 54,75
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 53,56
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 45,72
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Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 47,23
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Ajouter au panierEtat : New. In.
Edité par Beijing, 1958
Vendeur : T. A. Borden Books, Olney, MD, Etats-Unis
Edition originale
EUR 35,53
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Near Fine. Etat de la jaquette : Very Good. First Edition. Some chips on jacket extremities, light soil ; 8vo 8" - 9" tall.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 60,62
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 60,62
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 45,71
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Ajouter au panierEtat : New.