Topological Data Analysis : The Abel Symposium 2018 / Nils A. Baas ... [et al.] editors

• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Topological Data Analysis. The Abel Symposium 2018
• Descrizione fisica: xiv, 515 p. : ill. ; 24 cm
• Soggetto topico: 55-XX - Algebraic topology [MSC 2020]; 92B05 - General biology and biomathematics [MSC 2020]; 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]; 62R40 - Topological data analysis [MSC 2020]; 55N31 - Persistent homology and applications, topological data analysis [MSC 2020]
• Soggetto non controllato: Data analysis; Deep Learning; Dynamic graphs; Inverse Problems; Nerve lemma; Neural codes; Neural science; Persistence diagrams; Persistent Homology; Poisson–Delaunay mosaics; Prediction in cancer genomics; Single-cell Hi-C contact maps; Stability theorem; Topological Data Analysis
• Persona (resp. second.): Baas, Nils A.
• Titolo autorizzato: Topological Data Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0249989
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-43408-3
• Serie: Abel Symposia Berlin [etc.] . -Springer ; 15