Langue: anglais
Edité par Philosophical Library, New York, 1974
ISBN 10 : 0802221270 ISBN 13 : 9780802221278
Vendeur : Cacklegoose Press, London, Royaume-Uni
Edition originale Signé
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Ajouter au panierHardcover. Etat : Near Fine. Etat de la jaquette : Near Fine. 1st Edition. Gift inscription from author. Inscribed by Author(s).
Langue: anglais
Edité par Philosophical Library, United Kingdom, 1981
ISBN 10 : 0802223729 ISBN 13 : 9780802223722
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Ajouter au panierhardback. Etat : Very Good. Etat de la jaquette : Very Good. hardback, octavo, a very good tightly bound copy in a price clipped but well preserved dust wrapper that is now protected in a non-adhesive archival film sleeve, signature of a previous owner on front pastedown, the text is otherwise clean and unmarked, 308pp.
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Ajouter au panierHardcover. Etat : Very Good. Etat de la jaquette : Very Good.
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Ajouter au panierHardcover. Etat : Clean & Unmarked. Etat de la jaquette : Good. A gently read copy with slightly bumped corners. Price clipped dust jacket is well worn with rubbing and short tears. 308 pp.
Langue: anglais
Edité par New York:Philosophical Library, 1981
ISBN 10 : 0802223729 ISBN 13 : 9780802223722
Vendeur : Libresso - das Antiquariat in der Uni, Koethel, KREIS, Allemagne
EUR 30
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Ajouter au panierOln. Oln., Blindprägung, Ou., 308 S., Kopffarbschnitt, 8° (leichte Altersspuren, sonst gutes, textsauberes Exemplar). Als Kuriosität: beiliegend handschriftlich: Originalquittung des Autors über 100 DM und Versandabschnitt. Mit Quellen und Namenindex. Sprache: engl. ca. 900 Gramm. Buch.
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
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Ajouter au panierPF. Etat : New.
Langue: anglais
Edité par Springer Nature Switzerland AG, CH, 2019
ISBN 10 : 3030289532 ISBN 13 : 9783030289539
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 66,68
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Ajouter au panierPaperback. Etat : New. 2019 ed. The development of "intelligent" systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to "intelligent" machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Langue: anglais
Edité par Springer International Publishing, 2022
ISBN 10 : 3031040821 ISBN 13 : 9783031040825
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 42,79
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed.After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science.
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Ajouter au panierEtat : New. Satisfaction Guaranteed or your money back.
Langue: anglais
Edité par Springer Nature Switzerland AG, CH, 2019
ISBN 10 : 3030289532 ISBN 13 : 9783030289539
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 57,54
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Ajouter au panierPaperback. Etat : New. 2019 ed. The development of "intelligent" systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to "intelligent" machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 134,73
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Ajouter au panierPaperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning | Wojciech Samek (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2019 | Springer | EAN 9783030289539 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Springer-Verlag New York Inc, 2019
ISBN 10 : 3030289532 ISBN 13 : 9783030289539
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 167,81
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Ajouter au panierPaperback. Etat : Brand New. 438 pages. 9.50x6.25x0.75 inches. In Stock.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 117,69
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The development of 'intelligent' systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to 'intelligent' machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Edité par Philosophical Library, New York, 1974
Vendeur : Evolving Lens Bookseller, Kingston, NY, Etats-Unis
Membre d'association : IOBA
Edition originale
EUR 66,47
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Ajouter au panierHardcover. First Edition; First Printing. Book condition is Very Good; with a Very Good dust jacket. Small stain to jacket at front panel. Owner bookplate to front pastedown. Text is clean and unmarked. ; 8vo 8" - 9" tall; 403 pages.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 38,22
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer International Publishing Apr 2022, 2022
ISBN 10 : 3031040821 ISBN 13 : 9783031040825
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 42,79
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed.After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science. 408 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 61,32
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.