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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2017-03-07
10:00		 Tokyo Tokyo Institute of Technology Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis
Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech) IBISML2016-105		 Recently, the analysis for time-series logging data of animal behaviors, called bio-logging data, has attracted a wide a... [more] IBISML2016-105
pp.41-48
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
13:15		 Toyama   [Short Paper] Selective Inference for Time-series Change-Point Analysis
Yuta Umezu, Kazuya Nakagawa, Shigenori Inoue (NIT), Koji Tsuda (Tokyo Univ.), Mahito Sugiyama, Takuya Maekawa (Osaka Univ.), Toru Tamaki (Hiroshima Univ.), Ken Yoda (Nagoya Univ.), Ichiro Takeuchi (NIT) PRMU2016-63 IBISML2016-18		 In this paper, we propose a statistical method for time series data after detecting a change point. Because the change p... [more] PRMU2016-63 IBISML2016-18
pp.89-92
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