Eiji Takimoto
About
Eiji Takimoto has authored 30 papers that have received a total of 150 indexed citations.
This includes 18 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 8 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (12 papers), Advanced Bandit Algorithms Research (9 papers) and Machine Learning and Data Classification (4 papers). Eiji Takimoto is often cited by papers focused on Machine Learning and Algorithms (12 papers), Advanced Bandit Algorithms Research (9 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in Japan, United States and Saudi Arabia. Eiji Takimoto's co-authors include Kohei Hatano, Manfred K. Warmuth, Ehab Mahmoud Mohamed, Marcus Hütter and Sherief Hashima and has published in prestigious journals such as IEEE Access, Neural Computation and IEEE Communications Letters
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