| Presentation | 2018-03-06 The improving method of Singular Bayesian information criterion by analyzing learning coefficients Sayaka Suzuki, Souta Shina, Miki Aoyagi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Real data associated with genetic analysis, data mining, image or speech recognition, artificial intelligence, the control of a robot, time series prediction, and so on, are mainly analyzed by the layered neural network, the Boltzmann machine, the reduced rank regression and the normal mixture model, etc. Such hierarchical learning models are non-regular statistical models, which cannot be analyzed using the classic theories of regular statistical models. In this paper, we propose a new methodby improving a singular Bayesian information criterion and by considering characters of learning coefficients. We apply the method to normal mixture modelsand show its effectiveness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | A singular Bayesian information criterion / a learning coefficient / model selection method / a singular model |
| Paper # | IBISML2017-100 |
| Date of Issue | 2018-02-26 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2018/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nishijin Plaza, Kyushu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Statisitical Mathematics, Machine Learning, Data Mining, etc. |
| Chair | Kenji Fukumizu(ISM) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Secretary | Masashi Sugiyama(Nagoya Inst. of Tech.) / Hisashi Kashima(Univ. of Tokyo) |
| Assistant | Tomoharu Iwata(NTT) / Toshihiro Kamishima(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The improving method of Singular Bayesian information criterion by analyzing learning coefficients |
| Sub Title (in English) | |
| Keyword(1) | A singular Bayesian information criterion |
| Keyword(2) | a learning coefficient |
| Keyword(3) | model selection method |
| Keyword(4) | a singular model |
| 1st Author's Name | Sayaka Suzuki |
| 1st Author's Affiliation | Nihon University(Nihon Univ.) |
| 2nd Author's Name | Souta Shina |
| 2nd Author's Affiliation | Nihon University(Nihon Univ.) |
| 3rd Author's Name | Miki Aoyagi |
| 3rd Author's Affiliation | Nihon University(Nihon Univ.) |
| Date | 2018-03-06 |
| Paper # | IBISML2017-100 |
| Volume (vol) | vol.117 |
| Number (no) | IBISML-475 |
| Page | pp.pp.71-76(IBISML), |
| #Pages | 6 |
| Date of Issue | 2018-02-26 (IBISML) |