KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Topological Data Analysis
  • Produktbild: Topological Data Analysis
Band 15 - 10%

Topological Data Analysis The Abel Symposium 2018

Aus der Reihe Abel Symposia
10% sparen

216,99 € UVP 241,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

This book gathers the proceedings of the 2018 Abel Symposium, which was held in Geiranger, Norway, on June 4-8, 2018. The symposium offered an overview of the emerging field of "Topological Data Analysis". This volume presents papers on various research directions, notably including applications in neuroscience,...

Beschreibung

This book gathers the proceedings of the 2018 Abel Symposium, which was held in Geiranger, Norway, on June 4-8, 2018. The symposium offered an overview of the emerging field of "Topological Data Analysis". This volume presents papers on various research directions, notably including applications in neuroscience, materials science, cancer biology, and immune response. Providing an essential snapshot of the status quo, it represents a valuable asset for practitioners and those considering entering the field.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

26.06.2020
Abbildungen

XIV, 515 p. 199 illus., 146 illus. in color.
Herausgeber Nils A. Baas + weitere

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

26.06.2020
Abbildungen

XIV, 515 p. 199 illus., 146 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

515
Maße (L/B/H)

24,1/16/3,4 cm
Gewicht

906 g
Sprache

Englisch
ISBN

978-3-030-43407-6
Herstelleradresse

Springer-Verlag GmbH
Europaplatz 3
69115 Heidelberg
DE

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Topological Data Analysis
  • Produktbild: Topological Data Analysis
  • A fractal dimension for measures via persistent homology.- DTM-based filtrations.- Persistence diagrams as diagrams: a categorification of the stability theorem.- The persistence landscape and some of its properties.- Topological approaches to deep learning.- Topological data analysis of single-cell Hi-C contact maps.- Neural ring homomorphisms and maps between neural codes.- Radius functions on Poisson–Delaunay mosaics and related complexes experimentally.- Iterated integrals and population time series analysis.- Prediction in cancer genomics using topological signatures and machine learning.- Topological adventures in neuroscience.- Percolation on homology generators in codimension one.- Hyperplane neural codes and the polar complex.- Analysis of dynamic graphs and dynamic metric spaces via zigzag persistence.- Canonical stratifications along bisheaves.- Inverse problems in topological persistence.- Sparse circular coordinates via principal Z-bundles.- Same but different: distance correlations between topological summaries.- Certified mapper: repeated testing for acyclicity and obstructions to the nerve lemma.