| 000 | 03204nam a22004215i 4500 | ||
|---|---|---|---|
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
|
| 999 |
_c110939 _d110939 _x1 |
||
| 001 | 110939 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113446.0 | ||
| 008 | 181119s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030025205 | ||
| 024 | 7 |
_a10.1007/978-3-030-02520-5 _2doi |
|
| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
||
| 050 | 4 |
_aQA276.23 _b2019 EB |
|
| 245 | 0 | 0 |
_aGeometric Structures of Information _cedited by Frank Nielsen. |
| 264 | 1 |
_aCham _bImprint: Springer _c2019 |
|
| 300 |
_a1 recurso en línea (VIII, 392 páginas) _b49 ilustraciones, 36 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF |
||
| 490 | 0 | _aEngineering (Springer-11647) | |
| 490 | 0 |
_aSignals and Communication Technology _x1860-4862 |
|
| 505 | 0 | _aRho-Tau Embedding of Statistical Models -- A class of non-parametric deformed exponential statistical models -- Statistical Manifolds Admitting Torsion and Partially Flat Spaces -- Conformal attening on the probability simplex and its applications to Voronoi partitions and centroids Atsumi Ohara -- Monte Carlo Information-Geometric Structures -- Information geometry in portfolio theory -- Generalising Frailty Assumptions in Survival Analysis: a Geometric Approach -- Some Universal Insights on Divergences for Statistics, Machine Learning and Articial Intelligence -- Information-Theoretic Matrix Inequalities and Diusion Processes on Unimodular Lie Groups. | |
| 520 | 3 | _aThis book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical domains like shape spaces, probability/optimization & algorithms on manifolds, relational and discrete metric spaces, computational and Hessian information geometry, algebraic/infinite dimensional/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, and applications like geometries of audio-processing, inverse problems and signal processing.The book collects the most important contributions to the conference GSI'2017 - Geometric Science of Information. | |
| 988 | _aPrimersemestre_2019_Engineering | ||
| 650 | 7 |
_2embne _aEstadística matemática _9138936 |
|
| 650 | 7 |
_2embne _aCodificación, Teoría de la _9666753 |
|
| 650 | 7 |
_2embne _aEstructuras de datos (Informática) _9151535 |
|
| 700 | 1 |
_aNielsen, Frank. _eeditor literario _0(orcid)0000-0001-5728-0726 _4edt _4http://id.loc.gov/vocabulary/relators/edt _997278 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030025199 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030025212 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-02520-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI |
||