Balda emilio (21 Ergebnisse)

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.

Paperback. Zustand: New. 2020 ed. This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.…

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Taschenbuch. Zustand: Neu. Robustness Analysis of Deep Neural Networks in the Presence of Adversarial Perturbations and Noisy Labels | Emilio Balda | Taschenbuch | Großformatiges Paperback. Klappenbroschur | Englisch | Apprimus Verlag | EAN 9783863598020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Madrid, Consejo General del Poder Judicial, 1995, 22x15 cm, 367 págs.

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Zustand: New. pp. XI, 127 41 illus., 28 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Hardcover. Zustand: Brand New. 127 pages. 9.50x6.25x0.50 inches. In Stock.

Paperback. Zustand: New. 2020 ed. This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.…

Madrid, Consejo General del Poder Judicial, 2006, 21,5x15 cm, 319 págs.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this thesis, we study the robustness and generalization properties of Deep Neural Networks (DNNs) under various noisy regimes, due to corrupted inputs or labels. Such corruptions can be either random or intentionally crafted to disturb the target DNN. Inputs corrupted by maliciously designed perturbations are known as adversarial examples and have been shown to severely degrade the performance of DNNs. However, due to the non-linearity of DNNs, crafting such perturbations is non-trivial. [.] 134 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this thesis, we study the robustness and generalization properties of Deep Neural Networks (DNNs) under various noisy regimes, due to corrupted inputs or labels. Such corruptions can be either random or intentionally crafted to disturb the target DNN. Inputs corrupted by maliciously designed perturbations are known as adversarial examples and have been shown to severely degrade the performance of DNNs. However, due to the non-linearity of DNNs, crafting such perturbations is non-trivial. [.].…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervise.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive and in-depth treatment of the mathematical foundations of data scienceGuiding from general optimization approaches to finding structures in data&nbsp&nbsp&nbsp Provides exercises for each chapterElaborating the .…

Zustand: New. Print on Demand pp. XI, 127 41 illus., 28 illus. in color.

Zustand: New. PRINT ON DEMAND pp. XI, 127 41 illus., 28 illus. in color.