Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 58,47
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 56,57
Quantité disponible : 1 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 60,53
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 59,36
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. pages cm First edition Includes bibliographical references and index.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 66,35
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 52,98
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 58,85
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 56,77
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 59,80
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 67,43
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. 2024. 1st Edition. paperback. . . . . .
Langue: anglais
Edité par Taylor and Francis Ltd, GB, 2024
ISBN 10 : 036769820X ISBN 13 : 9780367698201
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 81,61
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 60,64
Quantité disponible : 1 disponible(s)
Ajouter au panierOther book format. Etat : New. New copy - Usually dispatched within 4 working days.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 82,83
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Vendeur : Speedyhen, Hertfordshire, Royaume-Uni
EUR 52,99
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : NEW.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 90,24
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 442 pages. 10.00x7.00x10.00 inches. In Stock.
Vendeur : moluna, Greven, Allemagne
EUR 63,54
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. Anuj Karpatne is an Assistant Professor in the Department of Computer Science at Virginia Tech. His research focuses on pushing on the frontiers of knowledge-guided machine learning by combining scientific knowledge and data in the design and learning of.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 130,57
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 129,40
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 131,75
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 134,08
Quantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Vendeur : preigu, Osnabrück, Allemagne
EUR 72,55
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Knowledge Guided Machine Learning | Accelerating Discovery using Scientific Knowledge and Data | Anuj Karpatne (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9780367698201 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 145,79
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 131,20
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Taylor and Francis Ltd, GB, 2024
ISBN 10 : 036769820X ISBN 13 : 9780367698201
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 76,01
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 139
Quantité disponible : 1 disponible(s)
Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 139,80
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 138,99
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 155,64
Quantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 159,54
Quantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 195,29
Quantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 448 pages. 10.00x7.00x0.94 inches. In Stock.