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Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, SS 2019-01-15
11:15		 Okinawa   Design of Demand Response Based on Event-Triggered Model Predictive Control
Kodai Miyazaki, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2018-56 SS2018-27		 In design of energy management systems, aggregators such as retailers play the important role. One of the roles of aggre... [more] MSS2018-56 SS2018-27
pp.13-18
NC, MBE 2015-03-17
13:50		 Tokyo Tamagawa University Optimization of LASSO Learning using WAIC and Its Application to City Data Analysis
Dai Miyazaki, Sumio Watanabe (Tokyo Tech) MBE2014-175 NC2014-126		 LASSO(Least Absolute Shrinkage and Selection Operator) is a method adding a penalty term consisting of absolute values o... [more] MBE2014-175 NC2014-126
pp.331-336
IBISML 2014-11-18
15:00		 Aichi Nagoya Univ. [Poster Presentation] Optimization Method of LASSO Hyperparameter using WAIC
Dai Miyazaki, Sumio Watanabe (Tokyo Tech) IBISML2014-63		 LASSO (Least Absolute Shrinkage and Selection Operator) was proposed as a regression method using a penalty term made of... [more] IBISML2014-63
pp.213-218
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