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pro vyhledávání: '"Asahara, Akinori"'
Molecular fingerprints are widely used for predicting chemical properties, and selecting appropriate fingerprints is important. We generate new fingerprints based on the assumption that a performance of prediction using a more effective fingerprint i
Externí odkaz:
http://arxiv.org/abs/2303.10179
This paper proposes an extension of regression trees by quadratic unconstrained binary optimization (QUBO). Regression trees are very popular prediction models that are trainable with tabular datasets, but their accuracy is insufficient because the d
Externí odkaz:
http://arxiv.org/abs/2303.09772
Autor:
Osakabe, Yoshihiro, Asahara, Akinori
Materials informatics (MI), which uses artificial intelligence and data analysis techniques to improve the efficiency of materials development, is attracting increasing interest from industry. One of its main applications is the rapid development of
Externí odkaz:
http://arxiv.org/abs/2302.02555
Publikováno v:
J. Phys. Mater. 3 (2019) 015001
Making material experiments more efficient is a high priority for materials scientists who seek to discover new materials with desirable properties. In this paper, we investigate how to optimize the laborious sequential measurements of materials prop
Externí odkaz:
http://arxiv.org/abs/1908.09102
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Molecular fingerprints are widely used for predicting chemical properties, and selecting appropriate fingerprints is important. We generate new fingerprints based on the assumption that a performance of prediction using a more effective fingerprint i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::548b32a4bd34f6695942e4555b773c16
https://doi.org/10.1109/bigdata55660.2022.10020236
https://doi.org/10.1109/bigdata55660.2022.10020236
Publikováno v:
2022 IEEE International Conference on Knowledge Graph (ICKG).
This paper proposes an extension of regression trees by quadratic unconstrained binary optimization (QUBO). Regression trees are very popular prediction models that are trainable with tabular datasets, but their accuracy is insufficient because the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559934b40194ae5731a082c794477e7e
https://doi.org/10.1109/ickg55886.2022.00052
https://doi.org/10.1109/ickg55886.2022.00052
Akademický článek
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Autor:
Asahara, Akinori
学位の種別: 論文博士
審査委員会委員 : （主査）東京大学准教授 関本 義秀, （副査）東京大学教授 柴崎 亮介, 東京大学特任教授 川崎 昭如, 東京大学講師 沼田 宗純, 東京大学准教授
審査委員会委員 : （主査）東京大学准教授 関本 義秀, （副査）東京大学教授 柴崎 亮介, 東京大学特任教授 川崎 昭如, 東京大学講師 沼田 宗純, 東京大学准教授
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::7432aae08fe7fbcc9bde1493624c4821
https://repository.dl.itc.u-tokyo.ac.jp/records/2002675
https://repository.dl.itc.u-tokyo.ac.jp/records/2002675
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010). 2:91-94
The results of a customer-trajectory analysis of an experimental event at a shopping complex are presented, and the manner in which the event participants are engaged with the shopping center is demonstrated. In particular, movements of participants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::8ef02343583c8ce768a3588da4762a0f
http://hdl.handle.net/10076/11669
http://hdl.handle.net/10076/11669