Progress in Information Geometry : Theory and Applications / Frank Nielsen editor

• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xii, 274 p. : ill. ; 24 cm
• Soggetto topico: 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 53-XX - Differential geometry [MSC 2020]; 53B12 - Differential geometric aspects of statistical manifolds and information geometry [MSC 2020]; 62B11 - Information geometry (statistical aspects) [MSC 2020]
• Soggetto non controllato: Data-driven science; Geometric Deep Learning; Geometry of quantum states; Hessian Information Geometry; Lie groups; Modeling and theory building; Monotone Embedding; Probability Density Estimation; Riemannian manifolds; Shape Space; Stochastic geometric mechanics
• Persona (resp. second.): Nielsen, Frank
• Titolo autorizzato: Progress in information geometry
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00282737
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-65459-7
• Serie: Signals and communication technology Berlin . -Springer , 2005-