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Title: Topological Data Analysis ([EBook]) : The Abel Symposium 2018 // edited by Nils A. Baas, Gunnar E. Carlsson, Gereon Quick, Markus Szymik, Marius Thaule. Dewey Class: 514.2 Edition statement: 1st ed. 2020. Added Personal Name: Baas, Nils A. editor. Carlsson, Gunnar E. editor. Quick, Gereon. editor. Szymik, Markus. editor. Thaule, Marius. editor. Publication: Cham : : Springer International Publishing : : Imprint: Springer,, 2020. Other name(s): SpringerLink (Online service) Physical Details: XIV, 515 p. 199 illus., 146 illus. in color. : online resource. Series: Abel Symposia,2193-2808 ;; 15 ISBN: 9783030434083 Mode of acces to digital resource: Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format System details note: - Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). Summary Note: 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.: Contents note: 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. . ------------------------------ *** There are no holdings for this record *** -----------------------------------------------
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