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Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2022-03-27
10:50
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
An Improvement of Prediction Performance of Reservoir Computing using Deep FORCE Learning
Kazuki Nakada, Eiji Suzuki, Keita Suda, Yukio Terasaki (TDK), Tetsuya Asai (Hokkaido Univ.), Tomoyuki Sasaki (TDK) CCS2021-40
The physical implementation has become increasingly important in the recent machine learning trends. Reservoir Computing... [more] CCS2021-40
pp.25-30
NLP, CCS 2021-06-11
15:20
Online Online Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10
In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] NLP2021-10 CCS2021-10
pp.45-50
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