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hardcover. Zustand: Acceptable. The cover is damaged. The copy is in otherwise good condition.
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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 9819901871 ISBN 13: 9789819901876
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 260 pages. 9.25x6.10x0.55 inches. In Stock.
Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 3031231929 ISBN 13: 9783031231926
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 454 pages. 9.25x6.10x0.98 inches. In Stock.
Verlag: Springer, Berlin|Springer International Publishing|Bundesministerium für Bildung und Forschung|Springer, 2023
ISBN 10: 3031231929 ISBN 13: 9783031231926
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 130 pages. 9.50x6.50x0.75 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 148 pages. 9.25x6.25x0.50 inches. In Stock.
Verlag: Springer-Nature New York Inc, 2020
ISBN 10: 303030373X ISBN 13: 9783030303730
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 127 pages. 9.25x6.10x0.43 inches. In Stock.
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 981199384X ISBN 13: 9789811993848
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 543 pages. 9.25x6.10x6.14 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 164 pages. 9.25x6.10x0.37 inches. In Stock.
Verlag: Springer, Berlin|Springer International Publishing|Bundesministerium für Bildung und Forschung|Springer, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Brand New. 260 pages. 9.25x6.10x0.83 inches. In Stock.
Verlag: Springer-Verlag New York Inc, 2019
ISBN 10: 3030303705 ISBN 13: 9783030303709
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Brand New. 127 pages. 9.25x6.25x0.50 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 454 pages. 9.25x6.10x1.18 inches. In Stock.
Verlag: Springer International Publishing, Springer Nature Switzerland Mai 2023, 2023
ISBN 10: 3031231929 ISBN 13: 9783031231926
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 456 pp. Englisch.
Verlag: Springer International Publishing Mai 2023, 2023
ISBN 10: 3031231929 ISBN 13: 9783031231926
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9819901871 ISBN 13: 9789819901876
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relationallearningtasks. In many real-world problems, however, relationships among the objects of our interest are more complexthan pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learningtasks.Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis,etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate thehigh-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 103,39
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 144 pages. 9.25x6.10x0.33 inches. In Stock.