| Presentation | 2003/7/21 An Introduction to Information Geometry Noboru MURATA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The information geometry is a method for investigating mechanisms of statistical inference, statistical test, learning and so on, based on the geometrical properties of the space of probability distributions. In this manuscript, basic ideas of the information geometry are discussed under Pythagorean proposition derived from the KL-divergence, without using differential geometrical concepts. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | information geometry / KL-divergence / Pythagorean proposition / dual structure |
| Paper # | NC2003-22 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/7/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Introduction to Information Geometry |
| Sub Title (in English) | |
| Keyword(1) | information geometry |
| Keyword(2) | KL-divergence |
| Keyword(3) | Pythagorean proposition |
| Keyword(4) | dual structure |
| 1st Author's Name | Noboru MURATA |
| 1st Author's Affiliation | Waseda University() |
| Date | 2003/7/21 |
| Paper # | NC2003-22 |
| Volume (vol) | vol.103 |
| Number (no) | 227 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |