Hajiyev asaf (121 risultati)

Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 396 di 540 - Advances in Intelligent Systems and Computing
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Hardcover. Condizione: new. Hardcover. In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and d…iscussing the current state and challenges of AI interpretability. Through an in-depth exploration of regression models, the core principles of data-driven linear regression are explained. To enhance the explanatory power of regression models, variable-parameter regression models are further investigated and extended to variable-parameter nonlinear regression models. To handle complex relationships, the Gauss-Newton iterative method is incorporated, ensuring the stability of high-dimensional nonlinear regression. The Confidence Interval-based Credibility Evaluation (CICE) framework combines statistical indicatorssuch as interval width, center deviation, and accuracyinto a single score to assess the stability and reliability of explanations, validated through case studies in engineering, finance, and time series prediction. Overall, the book presents a coherent framework for interpretable AI, integrating regression modeling, confidence region construction, and credibility evaluation to enhance interpretability and statistical accountability, fostering more trustworthy AI systems. Chapter 1 introduces the fundamental concepts and theoretical developments of both regression analysis and AI explainability, highlighting their interconnections. Chapter 2 reviews essential probability theory and mathematical statistics, covering random variables, measure spaces, probability distributions, parameter estimation (including least squares and maximum likelihood methods), and asymptotic theory, which serve as the foundation for analyzing model consistency and convergence. Chapter 3 focuses on the effects of correlated errors in linear regression, establishing parameter convergence conditions to ensure the consistency and asymptotic normality of covariance estimators. Chapter 4 introduces variable-parameter regression models and systematically studies M-estimators and generalized regression models within the framework of robust statistics. By addressing non-normal errors and outliers, these methods improve model adaptability. The chapter also establishes the robustness of the generalized regression model through theoretical analysis of covariance estimation. Chapter 5 introduces the Confidence Interval-based Credibility Evaluation (CICE) framework, which integrates multiple statistical indicators into a unified score to assess the stability and reliability of model explanations. Through real-world case studies in engineering, finance, and time series prediction, the effectiveness of CICE in detecting unstable interpretations and enhancing model transparency is demonstrated. To enhance the explanatory power of regression models, variable-parameter regression models are further investigated and extended to variable-parameter nonlinear regression models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and d…iscussing the current state and challenges of AI interpretability. Through an in-depth exploration of regression models, the core principles of data-driven linear regression are explained. To enhance the explanatory power of regression models, variable-parameter regression models are further investigated and extended to variable-parameter nonlinear regression models. To handle complex relationships, the Gauss-Newton iterative method is incorporated, ensuring the stability of high-dimensional nonlinear regression. The Confidence Interval-based Credibility Evaluation (CICE) framework combines statistical indicatorssuch as interval width, center deviation, and accuracyinto a single score to assess the stability and reliability of explanations, validated through case studies in engineering, finance, and time series prediction. Overall, the book presents a coherent framework for interpretable AI, integrating regression modeling, confidence region construction, and credibility evaluation to enhance interpretability and statistical accountability, fostering more trustworthy AI systems. Chapter 1 introduces the fundamental concepts and theoretical developments of both regression analysis and AI explainability, highlighting their interconnections. Chapter 2 reviews essential probability theory and mathematical statistics, covering random variables, measure spaces, probability distributions, parameter estimation (including least squares and maximum likelihood methods), and asymptotic theory, which serve as the foundation for analyzing model consistency and convergence. Chapter 3 focuses on the effects of correlated errors in linear regression, establishing parameter convergence conditions to ensure the consistency and asymptotic normality of covariance estimators. Chapter 4 introduces variable-parameter regression models and systematically studies M-estimators and generalized regression models within the framework of robust statistics. By addressing non-normal errors and outliers, these methods improve model adaptability. The chapter also establishes the robustness of the generalized regression model through theoretical analysis of covariance estimation. Chapter 5 introduces the Confidence Interval-based Credibility Evaluation (CICE) framework, which integrates multiple statistical indicators into a unified score to assess the stability and reliability of model explanations. Through real-world case studies in engineering, finance, and time series prediction, the effectiveness of CICE in detecting unstable interpretations and enhancing model transparency is demonstrated. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Da: StainesBook, Weybridge, SURRE, Regno UnitoStainesBook
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Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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Da: StainesBook, Weybridge, SURRE, Regno UnitoStainesBook
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Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Urban Governance : Integrative Approaches and Emerging Trends Towards Sustainable and Resilient Supply Chain Management
Xu, Jiuping (EDT); Lu, Yi (EDT); Hajiyev, Asaf (EDT); Li, Zongmin (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Urban Governance : Integrative Approaches and Emerging Trends Towards Sustainable and Resilient Supply Chain Management
Xu, Jiuping (EDT); Lu, Yi (EDT); Hajiyev, Asaf (EDT); Li, Zongmin (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Urban Governance : Integrative Approaches and Emerging Trends Towards Sustainable and Resilient Supply Chain Management
Xu, Jiuping (EDT); Lu, Yi (EDT); Hajiyev, Asaf (EDT); Li, Zongmin (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 396 di 540 - Advances in Intelligent Systems and Computing
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Hardcover. Condizione: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.

Urban Governance : Integrative Approaches and Emerging Trends Towards Sustainable and Resilient Supply Chain Management
Xu, Jiuping (EDT); Lu, Yi (EDT); Hajiyev, Asaf (EDT); Li, Zongmin (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Altre immaginiLingua: Inglese
Editore: Springer, 2020
Serie: Libro 396 di 540 - Advances in Intelligent Systems and Computing
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Proceedings of the Fourteenth International Conference on Management Science and Engineering Management | Volume 2 | Jiuping Xu (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xvi | Englisch | 2020 | Springer | EAN 9783030498887 | Verantwortliche Person für die EU: Springer V…erlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Proceedings of the Seventh International Conference on Management Science and Engineering Management | Focused on Electrical and Information Technology Volume II | Jiuping Xu (u. a.) | Taschenbuch | xvi | Englisch | 2016 | Springer | EAN 9783662524244 | Verantwortliche Person für die EU: Springer Ve…rlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Proceedings of the Seventh International Conference on Management Science and Engineering Management | Focused on Electrical and Information Technology Volume I | Jiuping Xu (u. a.) | Taschenbuch | xvi | Englisch | 2016 | Springer | EAN 9783662524237 | Verantwortliche Person für die EU: Springer Ver…lag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Condizione: New. Jiuping Xu is Distinguished Professor of Sichuan University, P.R. China, and Editor-in-Chief of International Journal of Management Science and Engineering Management. His research interests include emergency management, urban resilience, d.

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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2020
Serie: Libro 396 di 540 - Advances in Intelligent Systems and Computing
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 213,99
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for… researchers and practitioners in the field to share their ideas and experiences.Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.