Session information

General Session

General Session » [GS] J-2 Machine learning

[2Q1-J-2] Machine learning: models for prediction

Wed. Jun 5, 2019 9:00 AM - 10:40 AM Room Q (6F Meeting room, Bandaijima bldg.)

Chair:Koh Takeuchi Reviewer:Hikaru Kajino

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9:00 AM - 9:20 AM

[2Q1-J-2-01] The Cox hazard model using Factorization Machines

〇Kanata Satake¹, Makoto Yamada^1,2, Kota Matsui², Shigeyuki Matsui^2,3, Hisashi Kashima^1,2 (1. Kyoto University, 2. RIKEN Center, 3. Nagoya University)

9:20 AM - 9:40 AM

[2Q1-J-2-02] LTV Prediction Based on RFM and Customer Characteristics

〇Yusaku Imai¹, Yuki Tajima¹ (1. Dentsu Digital Inc.)

9:40 AM - 10:00 AM

[2Q1-J-2-03] Study on the relationship between data non-linearity and dam inflow discharge prediction accuracy

〇Masazumi Amakata¹, Takuto Yasuno¹, Junichiro Fujii¹, Yuri Shimamoto¹, Junichi Okubo¹ (1. Yachiyo Engineering Co.,Ltd.)

10:00 AM - 10:20 AM

[2Q1-J-2-04] Comparison of Deep Time Series Prediction Models Utilizing Linear Regression Model

〇Jun Hozumi¹, Yutaka Matsuo¹ (1. the University of Tokyo)

10:20 AM - 10:40 AM

[2Q1-J-2-05] The Effects of Element and Input Length on Accuracy in Aquaculture Seawater Temperature Prediction Model

〇Masahito Okuno¹, Takanobu Otsuka¹ (1. Nagoya Institute of Technology)

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