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Hardback or Cased Book. Condition: New. Geospatial Semantics and the Semantic Web: Foundations, Algorithms, and Applications. Book.
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Published by Information Science Reference, 2011
ISBN 10: 1609605934 ISBN 13: 9781609605933
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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Published by Cambridge University Press, 2026
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Published by Cambridge University Press, 2026
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Information Science Reference, 2011
ISBN 10: 1609605934 ISBN 13: 9781609605933
Seller: Basi6 International, Irving, TX, U.S.A.
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Published by Cambridge University Press, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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Published by Springer-Verlag New York Inc, 2011
ISBN 10: 1441994459 ISBN 13: 9781441994455
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Add to basketHardcover. Condition: Brand New. 165 pages. 9.25x6.25x0.75 inches. In Stock.
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Published by Cambridge University Press, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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Published by Cambridge University Press, GB, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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Hardback. Condition: New. Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook introduces the pioneering techniques of neurosymbolic AI, which blends statistical models with symbolic knowledge to make AI safer and user-explainable. This is critical in high-stakes AI applications in healthcare, law, finance, and crisis management. The book brings readers up to speed on advancements in statistical AI, including transformer models such as BERT and GPT, and provides a comprehensive overview of weakly supervised, distantly supervised, and unsupervised learning methods alongside their knowledge-enhanced variants. Other topics include active learning, zero-shot learning, and model fusion. Beyond theory, the book presents practical considerations and applications of neurosymbolic AI in conversational systems, mental health, crisis management systems, and social and behavioral sciences, making it a pragmatic reference for AI system designers in academia and industry.
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Add to basketPaperback. Condition: Brand New. 260 pages. 9.00x6.00x0.50 inches. In Stock.
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Published by Cambridge University Press, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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Published by Cambridge University Press, GB, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook introduces the pioneering techniques of neurosymbolic AI, which blends statistical models with symbolic knowledge to make AI safer and user-explainable. This is critical in high-stakes AI applications in healthcare, law, finance, and crisis management. The book brings readers up to speed on advancements in statistical AI, including transformer models such as BERT and GPT, and provides a comprehensive overview of weakly supervised, distantly supervised, and unsupervised learning methods alongside their knowledge-enhanced variants. Other topics include active learning, zero-shot learning, and model fusion. Beyond theory, the book presents practical considerations and applications of neurosymbolic AI in conversational systems, mental health, crisis management systems, and social and behavioral sciences, making it a pragmatic reference for AI system designers in academia and industry.
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009513745 ISBN 13: 9781009513746
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