Session Details
[D-19]Information Based Induction Sciences and Machine Learning
Thu. Mar 12, 2026 1:45 PM - 4:45 PM JST
Thu. Mar 12, 2026 4:45 AM - 7:45 AM UTC
Thu. Mar 12, 2026 4:45 AM - 7:45 AM UTC
Building 2 4F 2W403(Kyushu Sangyo University)
Chair:Yoichi Sasaki
[D-19-17]Selective Dynamic Multilayering for an Evolutionary Neural Network Construction Method
◎Yuta SAITO Kobayashi1, Hidetoshi Saito 1 (1. Graduate School of Engineering, Kogakuin University of Technology and Engineering)
[D-19-18]An Efficient Approach to t-Distributed Stochastic Neighbor Embedding under Secure Computation
〇Motoji Sakai1, Shogo Nishino1, Masaaki Hiraoka2, Yusuke Ishida2, Kohei Fukuda2, Atsushi Takimoto2, Goichiro Hanaoka3 (1. Resonac Corporation, 2. ZenmuTech, Inc., 3. National Institute of Advanced Industrial Science and Technology)
[D-19-19]Improving Scenario Forecasting Accuracy through Imputation of Hard-to-Acquire Data
〇Hiroaki Takebe1, Nobuhiro Miyazaki1, Hisaya Kobayashi1, Kozo Baba1, Akinori Miyamoto1, Takayuki Baba1 (1. Fujitsu Limited)
[D-19-20]シナリオ予測手法の拡張による海上運賃予測精度の向上
〇Hisaya Kobayashi1, Nobuhiro Miyazaki1, Hiroaki Takebe1, Kozo Baba1, Akinori Miyamoto1, Takayuki Baba1 (1. Fujitsu Ltd.)
[D-19-21]Scenario Forecasting Method Using Causal Graph Augmentation with LLMs
〇Kozo Baba1, Nobuhiro Miyazaki1, Hisaya Kobayashi1, Hiroaki Takebe1, Akinori Miyamoto1, Takayuki Baba1 (1. Fujitsu Limited)
[D-19-22]Concept Lattice Reduction in Formal Concept Analysis
〇Shu Kohyama1 (1. Kindai Univ.)
Break time
[D-19-23]Performance Evaluation of Federated Graph Neural Networks
◎△Shun Terada1, Yi-Han Chiang1, Hai Lin1, Yusheng Ji2 (1. Osaka Metropolitan Univ., 2. National Institute of Informatics)
[D-19-24]Personalized Federated Learning with Reservoir State Analysis Based on Hierarchical Bayesian Model
〇Keigo Nogami1, Gouhei Tanaka1,2 (1. Nagoya Institute of Technology, 2. The University of Tokyo)
[D-19-25]Online Adaptation to Unknown Environments in Reinforcement Learning Using Reservoir Computing
◎Aoi Yoshimura1, Gouhei Tanaka1,2 (1. Nagoya Institute of Technology, 2. The University of Tokyo)
[D-19-26]ガウスベルヌーイ制限ボルツマンマシンによるエネルギーベース方策を用いるActor-Criticに関する一考察
◎Toshitaka Iritani1, Seiji Ishihara 1 (1. Tokyo Denki University)
[D-19-27]Reinforcement Learning of Probabilistic Policies Using Restricted Boltzmann Machines with Softmax Units
〇Riku Kato1, Seiji Ishihara 1 (1. Tokyo Denki University)
