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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 |
2023-05-13 10:50 |
Fukushima |
Kenshin Koriyama Cultural Center (Koriyama, Fukushima) |
Study on the Effectiveness of Adaptive Gradient Algorithm with Momentum on Spatiotemporal Second-Order Dynamics Model Shahrzad Mahboubi, Hiroshi Ninomiya (SIT) NLP2023-3 |
[more] |
NLP2023-3 pp.11-15 |
CCS, NLP |
2022-06-09 16:50 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2022-9 CCS2022-9 |
With the rapid development of the IoT, there has been an increasing need to process the data on microcomputers equipped ... [more] |
NLP2022-9 CCS2022-9 pp.40-45 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 15:35 |
Online |
Online |
On the Study of Stochastic Gradient Descent Learning using Weight Difference Propagation Shahrzad Mahboubi, Ryo Yamatomi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2021-88 MICT2021-63 MBE2021-49 |
[more] |
NLP2021-88 MICT2021-63 MBE2021-49 pp.61-66 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online |
Online |
On the Study of Second-Order Training Algorithm using Matrix Diagonalization based on Hutchinson estimation Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. Tec.) NLP2021-89 MICT2021-64 MBE2021-50 |
In this study, we propose a new training algorithm based on the second-order approximated gradient method, which aims to... [more] |
NLP2021-89 MICT2021-64 MBE2021-50 pp.67-70 |
NLP, MSS (Joint) |
2019-03-15 14:55 |
Fukui |
Bunkyo Camp., Univ. of Fukui |
On the Influence of Momentum term in quasi-Newton method Shahrzad Mahboubi (SIT), Indrapriyadarsini s (Shizuoka Univ.), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.) NLP2018-137 |
The Nesterov's Accelerated quasi-Newton (NAQ) method was derived from the quadratic approximation of the error function ... [more] |
NLP2018-137 pp.69-74 |
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