Information and Systems-Neurocomputing(Date:2021/03/03)

Presentation
Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine

Ryuta Sasaki(TokyoTech),  Toru Aonishi(TokyoTech),  Kazushi Mimura(Hiroshima City Univ.),  Masato Okada(Univ. Tokyo),  Yoshihisa Yamamoto(NTT/Stanford Univ.),  

[Date]2021-03-05
[Paper #]NC2020-68
Applying Ensemble Learning in Relay BP

Keisuke Toyama(Nihon Univ.),  Yukari Yamauchi(Nihon Univ.),  

[Date]2021-03-05
[Paper #]NC2020-70
DCSOM with Ensemble Learning Classifier

Akito Takahashi(Nihon Univ),  Yukari Yamauchi(Nihon Univ),  

[Date]2021-03-05
[Paper #]NC2020-71
Proposal of Self-Organizing Incremental Neural Network based on Sparsity

Yuta Morikawa(Nihon Univ),  Yukari Yamauchi(Nihon Univ),  

[Date]2021-03-05
[Paper #]NC2020-67
Adaptive Optimization Method in Artificial Neural Network that Independ on Learning Rate

Tetsuya Sato(Nihon Univ.),  Yukari Yamauti(Nihon Univ.),  

[Date]2021-03-05
[Paper #]NC2020-72
Safe Pattern Pruning for Non-monotonic Feature on Predictive Pattern Mining

Hagawa Seiji(NITech),  Karasuyama Masayuki(NITech),  

[Date]2021-03-05
[Paper #]NC2020-73
On an online learning rule for reservoir neural network hardware

Kaito Kudo(Tohoku Univ.),  Keisuke Fukuda(Tohoku Univ.),  Yoshihiko Horio(Tohoku Univ.),  

[Date]2021-03-05
[Paper #]NC2020-66
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