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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Paperback. Zustand: Brand New. 354 pages. 9.00x6.00x0.75 inches. In Stock.

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Kartoniert / Broschiert. Zustand: New. This is the first book to provide an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science. It is essential reading for students and researchers who want to understand how cognit.

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Taschenbuch. Zustand: Neu. Supervised and Unsupervised Statistical Data Analysis | Antonio D'Ambrosio (u. a.) | Taschenbuch | ix | Englisch | 2025 | Springer | EAN 9783032030412 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume s treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 8 10, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis.

Paperback. Zustand: Brand New. 500 pages. 9.26x6.11x9.25 inches. In Stock.

Softcover. Zustand: gut. Bilingual. Am Beispiel der Praxis und Erfahrung an der Städelschule Frankfurt denken die Autoren über Lehren und Lernen von Kunst heute nach und welche Rolle dabei gesellschaftliche Aspekte, wie beispielsweise der Kunstmarkt, spielen. Ich glaube wirklich nicht, dass man Kunst lehren kann." sagte John Baldessari vor kurzem in einem Gespräch mit Studenten der Städelschule. Eine harte Aussage, vor allem, wenn man diese in einem Buch mit dem Titel Kunst lehren" liest. Was also findet Tag für Tag in einer Kunsthochschule statt? Die Autoren der Publikation sind mit der Städelschule entweder als Professoren oder als Gäste im Rahmen von Seminaren verbunden.Ich kann dieses Buch für Interessierte an dem Gebiet Kunsthochschule bzw. Städelschule nur ans Herz legen. Die einzelnen Artikel des Buches geben dem Leser einen sehr lebhaften Eindruck des Betriebes an der Städelschule. Einleitung von Daniel Birnbaum. Mit einem Fotoessay von Wolfgang Tillmans. Texte von Thomas Bayrle, Heike Belzer, Johan Bettum, Daniel Birnbaum, Michael Eddy, Mai Abu ElDahab, Okwui Enwezor, Isabelle Graw, Hanna Hildebrand, Walter Hollensteiner, Dietrich Koska, Michael Krebber, Pamela M. Lee, Niklas Maak, Vanessa Joan Müller, Sarah Ortmeyer, Hortense Pisano, Tobias Rehberger, Willem de Rooij, Simon Starling, Jan Verwoert, Jeronimo Voss, Mark Wigley, Wolfgang Winter, Catherine Wood Kunstmarkt Kunsthochschule Städelschule Frankfurt Co-Autor Thomas Bayrle, Heike Belzer, Johan Bettum, Daniel Birnbaum, Miachael Eddy, Mai Abu ElDahab, Onkwui Enwezor, Isabelle Graw, Hanna Hildebrand, Walter Hollensteiner, Dietrich Koska, Michael Krebber, Pamela M Lee, Niklas Maak, Vanessa J Müller, Sarah Ortmeyer, Hortense Pisano, Tobias Rehberger, Willem de Rooij, Simon Starling, Wolfgang Tillmans, Jan Verwoert, Jeromino Voss, Mark Wigley, Wolfgang Winter, Catherine Wood Sprache englisch; deutsch Maße 165 x 230 mm Einbandart Paperback Kunst Musik Theater Malerei Plastik Künstler Kunsterziehung Städelschule Frankfurt ISBN-10 3-86560-339-4 / 3865603394 ISBN-13 978-3-86560-339-5 / 9783865603395 In deutscher Sprache. 376 pages. 23 x 16,6 x 2,6 cm.

Zustand: Used: Good. Occasion - Bon Etat - Het handboek voor avond- en nachtfotografie : Uitleg en camera-instellingen voor de mooiste avond- en nachtfoto's (2021) - Grand Format.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume s treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 8 10, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. 354 pp. Englisch.

Paperback. Zustand: new. Paperback. The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volumes treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact. The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 810, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume's treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.

Paperback. Zustand: new. Paperback. The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volumes treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact. The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 810, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volumes treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact. The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 810, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.