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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, CCS |
2024-06-07 15:05 |
Fukuoka |
West Japan General Exhibition Center AIM |
Daiki Matsui, Kaito Kato (Chukyo Univ.), Yoshitaka Itoh (Hokkaido Univ. Sci.), Takuji Kousaka (Chukyo Univ.) |
[more] |
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NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:15 |
Online |
Online |
Verifying robustness of parameter space estimation against dynamical noise for predicting a critical transition of vegetation biomass Yoshitaka Itoh (Hokkaido Univ. of Sci.) NLP2021-72 MICT2021-47 MBE2021-33 |
This paper verifies robustness of a parameter space estimation when the estimation method is applied to predict a critic... [more] |
NLP2021-72 MICT2021-47 MBE2021-33 pp.13-16 |
NLP |
2017-11-05 17:25 |
Miyagi |
Research Institute of Electrical Communication Tohoku University |
Reconstructing Bifurcation Diagrams of Chaotic neuron Using Extreme Learning Machine Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-74 |
In recent year, an extreme learning machine which is simple structure have been applied to various problems. As one of t... [more] |
NLP2017-74 pp.53-58 |
NLP |
2017-07-14 14:25 |
Okinawa |
Miyako Island Marine Terminal |
Estimating Lyapunov Exponents for Reconstructed Two-dimensional Bifurcation Diagrams Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-46 |
We describe a method for reconstruction of two-dimensional bifurcation diagrams with Lyapunov exponents from only severa... [more] |
NLP2017-46 pp.99-102 |
NLP |
2009-11-11 11:10 |
Kagoshima |
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Chaotic Time Series Prediction by Combining Echo-State Networks and Radial Basis Function Networks Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-86 |
In this report, we describe a chaotic time series prediction method by a network which combines echo
state networks (ES... [more] |
NLP2009-86 pp.27-30 |
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