Wicker matthew (10 résultats)

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  • Autres images

    Edité par Soul & Psych, LLC, 2024

    9798847754880

    • Couverture rigide

    Vendeur : Aspen Book Co., Denver, CO, Etats-UnisAspen Book Co.

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Occasion - Comme neuf

    EUR 14,56

     Frais de port gratuits 
    Expédition nationale : Etats-Unis

    Quantité disponible : 1 disponible

    Hardcover. Etat : Like New. Etat de la jaquette : no dust jacket present. This hardcover edition of "Known: Embraced by the Heart of the Father" is in excellent condition. The cover is intact, with no visible signs of wear, and the binding is strong. There is no dust jacket, but the book itself shows no inscriptions or markings, ensuring a clean and fresh reading experience.…

  • Langue : anglais

    Edité par Springer, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices

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    Etat: Neuf

    EUR 56,78

    EUR 2,35 expédition 
    Expédition nationale : Etats-Unis

    Quantité disponible : 15 disponibles

    Etat : New.

  • Langue : anglais

    Edité par Springer International Publishing AG, CH, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA

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    Etat: Neuf

    EUR 59,21

     Frais de port gratuits 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Paperback. Etat : New. The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate explanations, they are often lacking robustness, e.g., they may produce completely different explanations for similar events. This phenomenon has troubling implications, as lack of robustness indicates that explanations are not capturing the underlying decision-making process of a model and thus cannot be trusted.This book aims at introducing Robust Explainable AI, a rapidly growing field whose focus is to ensure that explanations for machine learning models adhere to the highest robustness standards. We will introduce the most important concepts, methodologies, and results in the field, with a particular focus on techniques developed for feature attribution methods and counterfactual explanations for deep neural networks.As prerequisites, a certain familiarity with neural networks and approaches within XAI is desirable but not mandatory. The book is designed to be self-contained, and relevant concepts will be introduced when needed, together with examples to ensure a successful learning experience.…

  • Langue : anglais

    Edité par Springer, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 62,39

     Frais de port gratuits 
    Expédition nationale : Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : New.

  • Etat: Neuf

    EUR 18,72

    EUR 44,54 expédition 
    Expédition nationale : Etats-Unis

    Quantité disponible : 1 disponible

    Paperback. Etat : New. Mid/South Sonnets brings together sixty-six poets with ties throughout the American South. From Oklahoma to Florida- with larger clusters of work from the more centrally located Mid-Southern states, Arkansas, Mississippi, and Tennessee- the states represented through these writers offer a wide range of landscapes and perspectives that speak to the region's eclectic nature. While this anthology includes many conventional and experimental approaches to the sonnet form, each poem ultimately enacts an attempt to struggle through the anxieties of home in the hope of finding a place to love and belong.…

  • Langue : anglais

    Edité par Springer, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Occasion - Comme neuf

    EUR 64,42

    EUR 2,35 expédition 
    Expédition nationale : Etats-Unis

    Quantité disponible : 15 disponibles

    Etat : As New. Unread book in perfect condition.

  • Langue : anglais

    Edité par Springer-Nature New York Inc, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 78,37

    EUR 11,88 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 2 disponibles

    Paperback. Etat : Brand New. 83 pages. 9.25x6.10x9.21 inches. In Stock.

  • Langue : anglais

    Edité par Springer International Publishing AG, CH, 2025

    3031890213 / 9783031890215

    • Couverture souple

    Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 56,71

    EUR 77,21 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Paperback. Etat : New. The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate explanations, they are often lacking robustness, e.g., they may produce completely different explanations for similar events. This phenomenon has troubling implications, as lack of robustness indicates that explanations are not capturing the underlying decision-making process of a model and thus cannot be trusted.This book aims at introducing Robust Explainable AI, a rapidly growing field whose focus is to ensure that explanations for machine learning models adhere to the highest robustness standards. We will introduce the most important concepts, methodologies, and results in the field, with a particular focus on techniques developed for feature attribution methods and counterfactual explanations for deep neural networks.As prerequisites, a certain familiarity with neural networks and approaches within XAI is desirable but not mandatory. The book is designed to be self-contained, and relevant concepts will be introduced when needed, together with examples to ensure a successful learning experience.…

  • Langue : anglais

    Edité par Springer Verlag GmbH, 2025

    3031890213 / 9783031890215

    • Couverture souple
    • impression à la demande

    Vendeur : moluna, Greven, Allemagnemoluna

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 48,37

    EUR 48,99 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Langue : anglais

    Edité par Palgrave Macmillan, 2025

    3031890213 / 9783031890215

    • Couverture souple
    • impression à la demande

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 66,40

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate explanations, they are often lacking robustness, e.g., they may produce completely different explanations for similar events. This phenomenon has troubling implications, as lack of robustness indicates that explanations are not capturing the underlying decision-making process of a model and thus cannot be trusted.This book aims at introducing Robust Explainable AI, a rapidly growing field whose focus is to ensure that explanations for machine learning models adhere to the highest robustness standards. We will introduce the most important concepts, methodologies, and results in the field, with a particular focus on techniques developed for feature attribution methods and counterfactual explanations for deep neural networks.As prerequisites, a certain familiarity with neural networks and approaches within XAI is desirable but not mandatory. The book is designed to be self-contained, and relevant concepts will be introduced when needed, together with examples to ensure a successful learning experience.…