[1B3-GS-2] Machine learning

Tue. Jun 6, 2023 1:00 PM - 2:40 PM Room B (Civic hall B)

座長：山口真弥（NTT） [現地]

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1:00 PM - 1:20 PM

[1B3-GS-2-01] Forecasting and Trading Simulation of Financial Indicators Using Newspapers and Stock Bulletin Boards

〇Ren Hosokawa¹, Masaki Yamada², Yuki Ogawa², Kentaro Ueda³, Hirohiko Suwa³, Eiichi Umehara⁴, Tatsuo Yamashita⁵, Kota Tsubouchi⁵ (1. Graduate School of Information Science and Engineering, Ritsumeikan University, 2. Dep. of Information Science and Engineering, Ritsumeikan University, 3. Nara Institute of Science and Technology, 4. Niigata University of International and Information Studies, 5. Yahoo! JAPAN Research)

1:20 PM - 1:40 PM

[1B3-GS-2-02] High accuracy Bayesian network classifiers which have asymptotic consistency regardless of whether the data follows a Bayesian network

〇Koya Kato¹, Shouta Sugahara¹, Maomi Ueno¹ (1. The University of Electro-Communications)

1:40 PM - 2:00 PM

[1B3-GS-2-03] Zero-Inflated Poisson Transformer model for Count Time-Series Data

〇Daichi Kimura¹, Tomonori Izumitani¹ (1. NTT Communications)

2:00 PM - 2:20 PM

[1B3-GS-2-04] Analysis of Customer Characteristics using an Embedding Model with Attention Mechanism Considering Customer and Product Auxiliary Information

〇Tatsuya Ishii¹, Kirin Tsuchiya¹, Tianxiang Yang¹, Masayuki Goto¹ (1. Waseda University)

2:20 PM - 2:40 PM

[1B3-GS-2-05] Fully Data-driven Normalized and Exponentiated Kernel Density Estimator with Hyvärinen Score

〇Shouto Yonekura¹, Shunsuke Imai², Yoshihiko Nishiyama², Shonosuke Sugasawa³, Takuya Koriyama⁴ (1. Kodansha Ltd., 2. Univ. of Kyoto, 3. Univ. of Tokyo, 4. Rutgers University)

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