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Lingua: Inglese
Editore: Springer-Verlag Gmbh Aug 2025, 2025
ISBN 10: 9819509874 ISBN 13: 9789819509874
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.The 12 full papers in this book were carefully reviewed and selected from 27submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design. 196 pp. Englisch.
Lingua: Inglese
Editore: Springer-Verlag Gmbh Aug 2025, 2025
ISBN 10: 9819509874 ISBN 13: 9789819509874
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2025
ISBN 10: 9819509874 ISBN 13: 9789819509874
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Aggiungi al carrelloPaperback. Condizione: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.
Lingua: Inglese
Editore: Springer-Verlag Gmbh Aug 2025, 2025
ISBN 10: 9819509874 ISBN 13: 9789819509874
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Generalizing from Limited Resources in the Open World | Third International Workshop, GLOW 2025, Held in Conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, Proceedings | Yuqing Ma (u. a.) | Taschenbuch | x | Englisch | 2025 | Springer | EAN 9789819509874 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Springer Aug 2025, 2025
ISBN 10: 9819509874 ISBN 13: 9789819509874
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.The 12 full papers in this book were carefully reviewed and selected from 27submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design.
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Lingua: Inglese
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ISBN 10: 9819509874 ISBN 13: 9789819509874
Da: Books-by-Floh, Paderborn, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design. 208 pp. Englisch.
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Lingua: Inglese
Editore: Edward Elgar Publishing Ltd, 2017
ISBN 10: 1785368184 ISBN 13: 9781785368189
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 299,14
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Aggiungi al carrelloCondizione: New. 2017. Hardback. . . . . .