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Machine Learning Approach to Mobility Analyses
http://hdl.handle.net/10061/0002000765
http://hdl.handle.net/10061/00020007651d7067f2-c53f-4783-be4c-ccb79fd35a19
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2025-02-12 | |||||
| タイトル | ||||||
| タイトル | Machine Learning Approach to Mobility Analyses | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| 著者 |
池田, 和司
× 池田, 和司× 久保, 孝富 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Machine learning techniques are based on stochastic models associated with parameter estimation from massive data. They have been applied to scientific fields as well as industries, including mobility analyses. In this chapter, we introduce several machine learning techniques for mobility analyses, that is, techniques to track agents in a video, to extract the relationship among agents, and to analyze graphs, especially focusing on multi-animal behavior analyses. | |||||
| 書誌情報 |
en : Advanced Mathematical Science for Mobility Society p. 101-108, 発行日 2024-03-14 |
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| 出版者 | ||||||
| 出版者 | Springer | |||||
| 出版者版DOI | ||||||
| 関連タイプ | isReplacedBy | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1007/978-981-99-9772-5_6 | |||||
| 出版者版URI | ||||||
| 関連タイプ | isReplacedBy | |||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://link.springer.com/chapter/10.1007/978-981-99-9772-5_6 | |||||
| 権利 | ||||||
| 権利情報Resource | http://creativecommons.org/licenses/by/4.0/ | |||||
| 権利情報 | $00A9 2024 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | NA | |||||
