Verkauf durch Sack Fachmedien

Nielsen

Progress in Information Geometry

Theory and Applications

Medium: Buch
ISBN: 978-3-030-65461-0
Verlag: Springer International Publishing
Erscheinungstermin: 16.03.2022
Lieferfrist: bis zu 10 Tage

This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topology/Machine/Deep Learning and Artificial Intelligence. The selection of applications makes the book a substantial information source, not only for academic scientist but it is also highly relevant for industry. 

The book project was initiated following discussions at the international conference GSI’2019 – Geometric Science of Information that was held at ENAC, Toulouse (France).


Produkteigenschaften


  • Artikelnummer: 9783030654610
  • Medium: Buch
  • ISBN: 978-3-030-65461-0
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 16.03.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: Signals and Communication Technology
  • Produktform: Kartoniert
  • Gewicht: 441 g
  • Seiten: 274
  • Format (B x H x T): 155 x 235 x 16 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Information Geometry of smooth densities on the Gaussian space: Poincare inequalities.- On Normalization Functions and ?-families of Probability Distributions.- Affine Connections with Torsion in (para-)complexified Structures.- Contact Hamiltonian systems for probability distribution functions and expectation variables: A study based on a class of master equations.- Invariant Koszul Form of Homogeneous Bounded Domains and Information Geometry Structures.- Gauge freedom of entropies on q-Gaussian measures.- On geodesic triangles with right angles in a dually flat space.- Chain Rule Optimal Transport.- Towards the “Shape” of Cosmological Observables and the String Theory Landscape with Topological Data Analysis.- A review of two decades of correlations, hierarchies, networks and clustering in financial markets.