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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(2nd)		 2019-11-27
13:55		 Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo (Tokyo) [Poster Presentation] Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) 		Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more]
SeMI, RCS, NS, SR, RCC
(Joint)		 2019-07-10
13:50		 Osaka I-Site Nanba（Osaka） (Osaka) [Encouragement Talk] Utility-function modeling scheme for real-time prediction of spatial information
Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) SeMI2019-21		 Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] SeMI2019-21
pp.19-22
MoNA 2019-01-17
09:40		 Kyoto T. B. D. (Kyoto) Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) MoNA2018-66		 In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It is
expected th... [more]		 MoNA2018-66
pp.51-55
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