Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Books Puddle, New York, NY, USA
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 264 pages. 9.25x6.10x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach's generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback. Pub Date: 2019-01-01 Pages: 240 Language: English Publisher: Science Press Many geotechnical problems rely on empirical methods to design equations or expressions chart to determine the response of the system to input variables. MARS Applications in Geotechnical En .
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: New. New. book.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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In den Warenkorbhardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 86,24
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Springer Nature Singapore Mai 2019, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach's generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis. 264 pp. Englisch.
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the nonparametric regression algorithm known as multivariate adaptive regression splines (MARS) and its applications Introduces simple algorithms that are easy to interpret and deliver good computational efficien.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. Print on Demand.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. MARS Applications in Geotechnical Engineering Systems | Multi-Dimension with Big Data | Wengang Zhang | Buch | xxi | Englisch | 2019 | Springer | EAN 9789811374210 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Sprache: Englisch
Verlag: Springer, Springer Mai 2019, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach's generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.