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Geometric Structures of Statistical Physics, Information Geometry, and Learning : SPIGL'20, Les Houches, France, July 27–31 / Frédéric Barbaresco, Frank Nielsen editors
| Geometric Structures of Statistical Physics, Information Geometry, and Learning : SPIGL'20, Les Houches, France, July 27–31 / Frédéric Barbaresco, Frank Nielsen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 459 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
53-XX - Differential geometry [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 82-XX - Statistical mechanics, structure of matter [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Conference Proceedings
Geometric Mechanics Information Geometry Lie group machine learning Statistical inference Thermodynamics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274793 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Geometric Structures of Statistical Physics, Information Geometry, and Learning : SPIGL'20, Les Houches, France, July 27–31 / Frédéric Barbaresco, Frank Nielsen editors
| Geometric Structures of Statistical Physics, Information Geometry, and Learning : SPIGL'20, Les Houches, France, July 27–31 / Frédéric Barbaresco, Frank Nielsen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 459 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
53-XX - Differential geometry [MSC 2020] 62-XX - Statistics [MSC 2020] 68-XX - Computer science [MSC 2020] 82-XX - Statistical mechanics, structure of matter [MSC 2020] |
| Soggetto non controllato |
Conference Proceedings
Geometric Mechanics Information Geometry Lie groups Statistical inference Thermodynamics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274793 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Geometry / Nihat Ay ... [et al.]
| Information Geometry / Nihat Ay ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xi, 407 p. : ill. ; 24 cm |
| Soggetto topico |
46B20 - Geometry and structure of normed linear spaces [MSC 2020]
94A17 - Measures of information, entropy [MSC 2020] 94B27 - Geometric methods (including applications of algebraic geometry) applied to coding theory [MSC 2020] 53Bxx - Local differential geometry [MSC 2020] 60A10 - Probabilistic measure theory [MSC 2020] 62Bxx - Sufficiency and information [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Soggetto non controllato |
Alpha Connections
Amari-Chentsov Tensor Data structures Divergences Fisher Metric Information Geometry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123943 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Geometry / Nihat Ay ... [et al.]
| Information Geometry / Nihat Ay ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xi, 407 p. : ill. ; 24 cm |
| Soggetto topico |
46B20 - Geometry and structure of normed linear spaces [MSC 2020]
53Bxx - Local differential geometry [MSC 2020] 60A10 - Probabilistic measure theory [MSC 2020] 62Bxx - Sufficiency and information [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 94B27 - Geometric methods (including applications of algebraic geometry) applied to coding theory [MSC 2020] |
| Soggetto non controllato |
Alpha Connections
Amari-Chentsov Tensor Data structures Divergences Fisher Metric Information Geometry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123943 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information geometry and its applications / Shun-ichi Amari
| Information geometry and its applications / Shun-ichi Amari |
| Autore | Amari, Shun-Ichi |
| Pubbl/distr/stampa | [Tokyo], : Springer, 2016 |
| Descrizione fisica | XIII, 373 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
53-XX - Differential geometry [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 62-XX - Statistics [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 52B10 - Three-dimensional polytopes [MSC 2020] 53B05 - Linear and affine connections [MSC 2020] 62E10 - Characterization and structure theory of statistical distributions [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Soggetto non controllato |
Dual differential geometry
Information Geometry Machine learning Mathematical neuroscience Natural gradient learning Signal processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114879 |
Amari, Shun-Ichi
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| [Tokyo], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information geometry and its applications / Shun-ichi Amari
| Information geometry and its applications / Shun-ichi Amari |
| Autore | Amari, Shun-Ichi |
| Pubbl/distr/stampa | [Tokyo], : Springer, 2016 |
| Descrizione fisica | XIII, 373 p. : ill. ; 24 cm |
| Soggetto topico |
52B10 - Three-dimensional polytopes [MSC 2020]
53-XX - Differential geometry [MSC 2020] 53B05 - Linear and affine connections [MSC 2020] 62-XX - Statistics [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E10 - Characterization and structure theory of statistical distributions [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] |
| Soggetto non controllato |
Dual differential geometry
Information Geometry Machine learning Mathematical neuroscience Natural gradient learning Signal processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114879 |
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Amari, Shun-Ichi
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| [Tokyo], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Geometry and Population Genetics : the Mathematical Structure of the Wright-Fisher Model / Julian Hofrichter, Jurgen Jost, Tat Dat Tran
| Information Geometry and Population Genetics : the Mathematical Structure of the Wright-Fisher Model / Julian Hofrichter, Jurgen Jost, Tat Dat Tran |
| Autore | Hofrichter, Julian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 319 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Jost, Jürgen
Tran, Tat Dat |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
94A17 - Measures of information, entropy [MSC 2020] 92D25 - Population dynamics (general) [MSC 2020] 92D10 - Genetics and epigenetics [MSC 2020] |
| Soggetto non controllato |
Free energy functional
Information Geometry Kolmogorov equations Multiallele/multilocus model Population genetics Wright-Fisher model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123510 |
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Hofrichter, Julian
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Geometry and Population Genetics : the Mathematical Structure of the Wright-Fisher Model / Julian Hofrichter, Jurgen Jost, Tat Dat Tran
| Information Geometry and Population Genetics : the Mathematical Structure of the Wright-Fisher Model / Julian Hofrichter, Jurgen Jost, Tat Dat Tran |
| Autore | Hofrichter, Julian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 319 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Jost, Jürgen
Tran, Tat Dat |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92D10 - Genetics and epigenetics [MSC 2020] 92D25 - Population dynamics (general) [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] |
| Soggetto non controllato |
Free energy functional
Information Geometry Kolmogorov equations Multiallele/multilocus model Population genetics Wright-Fisher model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123510 |
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Hofrichter, Julian
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint / Shinto Eguchi, Osamu Komori
| Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint / Shinto Eguchi, Osamu Komori |
| Autore | Eguchi, Shinto |
| Pubbl/distr/stampa | Tokyo, : Springer, 2022 |
| Descrizione fisica | x, 221 p. : ill. ; 24 cm |
| Altri autori (Persone) | Komori, Osamu |
| Soggetto non controllato |
Boosting
Independent component analysis Information Geometry Kernel Method Machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278247 |
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Eguchi, Shinto
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| Tokyo, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint / Shinto Eguchi, Osamu Komori
| Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint / Shinto Eguchi, Osamu Komori |
| Autore | Eguchi, Shinto |
| Pubbl/distr/stampa | Tokyo, : Springer, 2022 |
| Descrizione fisica | x, 221 p. : ill. ; 24 cm |
| Altri autori (Persone) | Komori, Osamu |
| Soggetto non controllato |
Boosting
Independent component analysis Information Geometry Kernel methods Machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278247 |
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Eguchi, Shinto
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| Tokyo, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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