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Edité par Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10 : 3031099761 ISBN 13 : 9783031099762
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Modern AI techniques ¿- especially deep learning ¿- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like 'small' -- into control and decision making. For this incorporation, a special 'fuzzy' technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.
Edité par Springer International Publishing, Springer International Publishing, 2023
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern AI techniques -- especially deep learning -- provide, inmany cases, very good recommendations: where a self-driving carshould go, whether to give a company a loan, etc. The problem isthat not all these recommendations are good -- and since deeplearning provides no explanations, we cannot tell whichrecommendations are good.It is therefore desirable to provide natural-language explanationof the numerical AI recommendations. The need to connect naturallanguage rules and numerical decisions is known since 1960s, whenthe need emerged to incorporate expert knowledge -- described byimprecise words like 'small' -- into control and decision making.For this incorporation, a special 'fuzzy' technique was invented,that led to many successful applications. This book described howthis technique can help to make AI more explainable.The book can be recommended for students, researchers, andpractitioners interested in explainable AI.
Edité par Springer International Publishing, 2023
ISBN 10 : 3031099761 ISBN 13 : 9783031099762
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Ajouter au panierTaschenbuch. Etat : Neu. Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques | Vladik Kreinovich | Taschenbuch | x | Englisch | 2023 | Springer International Publishing | EAN 9783031099762 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer International Publishing Okt 2023, 2023
ISBN 10 : 3031099761 ISBN 13 : 9783031099762
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern AI techniques -- especially deep learning -- provide, inmany cases, very good recommendations: where a self-driving carshould go, whether to give a company a loan, etc. The problem isthat not all these recommendations are good -- and since deeplearning provides no explanations, we cannot tell whichrecommendations are good.It is therefore desirable to provide natural-language explanationof the numerical AI recommendations. The need to connect naturallanguage rules and numerical decisions is known since 1960s, whenthe need emerged to incorporate expert knowledge -- described byimprecise words like 'small' -- into control and decision making.For this incorporation, a special 'fuzzy' technique was invented,that led to many successful applications. This book described howthis technique can help to make AI more explainable.The book can be recommended for students, researchers, andpractitioners interested in explainable AI. 140 pp. Englisch.