Wicker matthew (10 resultados)
Más imágenesEditorial: Soul & Psych, LLC, 2024
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Librería: Aspen Book Co., Denver, CO, Estados Unidos de AmericaAspen Book Co.
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 14,56
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Hardcover. Condición: Like New. Estado de la sobrecubierta: 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.…

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 56,78
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Condición: New.

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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 59,21
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Paperback. Condición: 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.…

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 62,39
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Condición: New.

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Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United
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EUR 18,72
Envío por EUR 44,54Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: 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.…

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 64,42
Envío por EUR 2,35Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Condición: As New. Unread book in perfect condition.

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 78,37
Envío por EUR 11,88Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 83 pages. 9.25x6.10x9.21 inches. In Stock.

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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 56,71
Envío por EUR 77,21Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: 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.…

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Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,37
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 66,40
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponible
Taschenbuch. Condición: 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.…