Presentation | 2016-11-16 Online heterogeneous mixture machine learning Tetsuya Ikehara, Satoshi Yamane, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, utilization of big data has attracted the attention, and many techniques about data analysis have been proposed. The real time data analysis has become important, but big data analysis is difficult because the data has a plurality of different regularity. There is algorithm of heterogeneous mixture machine learning to analyze the data efficiently. In this study, we propose algorithm of online heterogeneous mixture machine learning based on online EM algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Big Data / Online Leaning / Mixture Machine Learning |
Paper # | IBISML2016-54 |
Date of Issue | 2016-11-09 (IBISML) |
Conference Information | |
Committee | IBISML |
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Conference Date | 2016/11/16(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kyoto Univ. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Information-Based Induction Science Workshop (IBIS2016) |
Chair | Kenji Fukumizu(ISM) |
Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
Secretary | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.) |
Assistant | Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
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) | Online heterogeneous mixture machine learning |
Sub Title (in English) | |
Keyword(1) | Big Data |
Keyword(2) | Online Leaning |
Keyword(3) | Mixture Machine Learning |
Keyword(4) | |
1st Author's Name | Tetsuya Ikehara |
1st Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
2nd Author's Name | Satoshi Yamane |
2nd Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
Date | 2016-11-16 |
Paper # | IBISML2016-54 |
Volume (vol) | vol.116 |
Number (no) | IBISML-300 |
Page | pp.pp.59-64(IBISML), |
#Pages | 6 |
Date of Issue | 2016-11-09 (IBISML) |