| Presentation | 2019-12-20 Estimation of $q$-value of $q$-normal distribution through CNN Yukito Miyakawa, Ryosuke Hosaka, Masaru Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is usually assumed that the given data follow a normal distribution or $t$ distribution for the sake of simplicity.The normal distribution can be assumed by the law of large numbers and the central limit theorem, but the support is non-compact.Because the actual data is in a finite range, the support that the data is supposed to follow does not have to be non-compact.In other words, the support of probability distributions assumed in real data is compact.We focus on the $q$-normal distribution, which is compact and close to the normal distribution.If the value of $q$ can be estimated from the distribution of data, a more appropriate probability distribution can be proposed than the normal distribution.In this paper, we report an experiment to estimate the value of $q$ from the distribution of data through the convolutional neural network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | $q$-normal distribution / convolutional neural network |
| Paper # | PRMU2019-58 |
| Date of Issue | 2019-12-12 (PRMU) |
| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2019/12/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yoichi Sato(Univ. of Tokyo) |
| Vice Chair | Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) |
| Secretary | Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) |
| Assistant | Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation of $q$-value of $q$-normal distribution through CNN |
| Sub Title (in English) | |
| Keyword(1) | $q$-normal distribution |
| Keyword(2) | convolutional neural network |
| 1st Author's Name | Yukito Miyakawa |
| 1st Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 2nd Author's Name | Ryosuke Hosaka |
| 2nd Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 3rd Author's Name | Masaru Tanaka |
| 3rd Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| Date | 2019-12-20 |
| Paper # | PRMU2019-58 |
| Volume (vol) | vol.119 |
| Number (no) | PRMU-347 |
| Page | pp.pp.75-80(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-12-12 (PRMU) |