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Guardat en:
| Format: | Llibre |
|---|---|
| Idioma: | anglès |
| Matèries: | |
| Etiquetes: |
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| era | |
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| format | Book |
| genre | |
| geographic | |
| id | ffa3362c-47b3-4f48-b680-29bfdc9fd0ab |
| isbn | 9784431569220 |
| issn | |
| language | eng |
| physical | X, 221 p. 18 illus., 15 illus. in color.online resource. |
| publication | – publisher: Springer Japan dateOfPublication: 2022 |
| publishDate | 2022 |
| subjects | |
| title | Minimum Divergence Methods in Statistical Machine Learning From an Information Geometric Viewpoint / by Shinto Eguchi, Osamu Komori. [electronic resource] : |
| topic | Statistics . Statistics. Computer science Mathematical statistics. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Statistical Theory and Methods. Probability and Statistics in Computer Science. |